Download or read book Modeling Pattern Analysis and Feature based Retrieval on Retinal Images written by Huajun Ying and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Inexpensive high quality fundus camera systems enable imaging of retina for vision related health management and diagnosis at large scale. A computer based analysis system can help establish the general baseline of normal conditions vs. anomalous ones, so that different classes of retinal conditions can be classified. Advanced applications, ranging from disease screening algorithms, aging vs. disease trend modeling and prediction, and content-based retrieval systems can be developed. In this dissertation, I propose an analytical framework for the modeling of retina blood vessels to capture their statistical properties, so that based on these properties one can develop blood vessel mapping algorithms with self-optimized parameters. Then, other image objects can be registered based on vascular topology modeling techniques. On the basis of these low level analytical models and algorithms, the third major element of this dissertation is a high level population statistics application, in which texture classification of macular patterns is correlated with vessel structures, which can also be used for retinal image retrieval. The analytical models have been implemented and tested based on various image sources. Some of the algorithms have been used for clinical tests. The major contributions of this dissertation are summarized as follows: (1) A concise, accurate feature representation of retinal blood vessel on retinal images by proposing two feature descriptors Sp and Ep derived from radial contrast transform. (2) A new statistical model of lognormal distribution, which captures the underlying physical property of the levels of generations of the vascular network on retinal images. (3) Fast and accurate detection algorithms for retinal objects, which include retinal blood vessel, macular-fovea area and optic disc, and (4) A novel population statistics based modeling technique for correlation analysis of blood vessels and other image objects that only exhibit subtle texture changes.

Download or read book Pattern Recognition and Image Analysis written by Aythami Morales and published by Springer Nature. This book was released on 2019-09-21 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.

Download or read book Image Pattern Recognition written by L Koteswara Rao and published by CRC Press. This book was released on 2022-02-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers. -The text introduces two models of Directional local extrema patterns viz., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns. -Provides a framework to extract the features using quantization method -Discusses the local quantized extrema collected from two oppugnant color planes -Illustrates the mesh structure with the pixels at alternate positions.

Download or read book Medical Image Analysis and Informatics written by Paulo Mazzoncini de Azevedo-Marques and published by CRC Press. This book was released on 2017-11-23 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Download or read book Retinal Image Analytics written by Esra Ataer-Cansizoglu and published by . This book was released on 2015 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for computerized analysis of retinal images has been increasing with the wide clinical use of fundus photography. Retinopathy of prematurity (ROP) is among the diseases that can be diagnosed through the use of retinal images. It is a disease affecting low-birth weight infants, in which blood vessels in the retina of the eye develop abnormally and cause potential blindness. We propose an image processing and machine learning framework from the vasculature segmentation to diagnosis of Retinopathy of Prematurity (ROP) in retinal images. The system takes a retinal image as an input, does automatic vessel segmentation and tracing, extracts various features, performs feature selection and outputs a diagnostic decision. Although, ROP is the leading cause of childhood blindness in the world, there exists a wide variability among experts in diagnosis. We propose a method to do an in-depth feature and observer analysis by employing Mutual Information (MI) to understand the underlying causes of inter-expert disagreement. The contributions of this dissertation are (i) extraction of new features quantifying tortuosity and amount of branching that are useful for ROP diagnosis, (ii) a novel feature representation paradigm utilizing Gaussian Mixture Models of image features to better model tortuous and straight vessels, (iii) an accurate pairwise similarity measure between images based on the proposed feature representation, (iv) the use of the proposed similarity measure in support vector machine (SVM) and k-nearest neighbor (KNN) classifiers, and (v) a MI-based feature-observer analysis technique to understand the features that lead inter-expert disagreement. The proposed framework is the first fully-automated computer-aided diagnosis system for ROP disease. The experiments are carried out on two datasets each of which consists of wide-angle colored retinal images acquired during routine ROP exams. The first one is designed for feature-observer analysis and consists of 34 images diagnosed by 22 experts. The second one is designed for classification experiments and contains 77 images with reference standard diagnosis. In our feature-observer analysis, we observed that although ROP is defined based on arteriolar tortuosity and venous dilation, there exists other features that highly correlate with expert opinions. This finding shows that the definition of the disease is subjective. We obtain 95\% accuracy compared to the reference standard on the second dataset when we use features extracted from manual segmentations. This performance is comparable to the performance of the individual experts (96%, 93%, 92%), Williams test = 1.0. With the features extracted from computer-based segmentation algorithm, we achieve 80% accuracy, which is promising for a fully-automated system.

Download or read book Emerging Trends in Image Processing Computer Vision and Pattern Recognition written by Leonidas Deligiannidis and published by Morgan Kaufmann. This book was released on 2014-12-09 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data. Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication. Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. Explains how to use image processing and visualization to analyze big data.

Download or read book Computer Vision Pattern Recognition Image Processing and Graphics written by Renu Rameshan and published by Springer. This book was released on 2018-04-25 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017. The 48 revised full papers presented in this volume were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on video processing; image and signal processing; segmentation, retrieval, captioning; pattern recognition applications.

Download or read book Computer Analysis of Images and Patterns written by Walter Kropatsch and published by Springer Science & Business Media. This book was released on 2007-08-14 with total page 1025 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the 12th International Conference on Computer Analysis of Images and Patterns are presented in this volume. The papers cover motion detection and tracking, medical imaging, biometrics, color, curves and surfaces beyond two dimensions, reading characters, words and lines, image segmentation, shape, image registration and matching, signal decomposition and invariants, and features and classification.

Download or read book Handbook of Pattern Recognition and Computer Vision written by Chi-hau Chen and published by World Scientific. This book was released on 2010 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.

Download or read book Handbook of Research on Computational Intelligence for Engineering Science and Business written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2012-11-30 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.

Download or read book Digital Teleretinal Screening written by Kanagasingam Yogesan and published by Springer Science & Business Media. This book was released on 2012-03-28 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital retinal imaging performed by primary care providers and nurses, followed by remote image interpretation (teleretinal imaging), is rapidly acquiring a crucial role in many parts of the world as it permits the detection of major diseases, such as diabetic retinopathy and glaucoma, in patients who would otherwise be beyond the reach of a trained ophthalmologist. In this book, experts from around the world describe how digital teleretinal screening can be set up and optimally utilized. Technical issues are discussed, and the appropriate use of screening for different diseases and in different age groups is explained. The major part of the book draws upon the clinical experience of leading practitioners in a wide range of teleretinal applications. The result is a comprehensive source of high-quality information for clinicians and other health professionals who are involved in eye care delivery, so that they can assess how teleretinal screening might be applied to their working practice.

Download or read book Cognitive Feature Fusion for Effective Pattern Recognition in Multi modal Images and Videos written by Yijun Yan and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image retrieval and object detection have been always popular topics in computer vision, wherein feature extraction and analysis plays an important role. Effective feature descriptors can represent the characteristics of the images and videos, however, for various images and videos, single feature can no longer meet the needs due to its limitations. Therefore, fusion of multiple feature descriptors is desired to extract the comprehensive information from the images, where statistical learning techniques can also be combined to improve the decision making for object detection and matching. In this thesis, three different topics are focused which include logo image retrieval, image saliency detection, and small object detection from videos. Trademark/logo image retrieval (TLIR) as a branch of content-based image retrieval (CBIR) has drawn wide attention for many years. However, most TLIR methods are derived from CBIR methods which are not designed for trademark and logo images, simply because trademark/logo images do not have rich colour and texture information as ordinary images. In the proposed TLIR method, the characteristic of the logo images is extracted by taking advantage of the color and spatial features. Furthermore, a novel adaptive fusion strategy is proposed for feature matching and image retrieval. The experimental results have shown the promising results of the proposed approach, which outperforms three benchmarking methods. Image saliency detection is to simulate the human visual attention (i.e. bottom-up and top-down mechanisms) and to extract the region of attention in images, which has been widely applied in a number of applications such as image segmentation, object detection, classification, etc. However, image saliency detection under complex natural environment is always very challenging. Although different techniques have been proposed and produced good results in various cases, there is some lacking in modeling them in a more generic way under human perception mechanisms. Inspired by Gestalt laws, a novel unsupervised saliency detection framework is proposed, where both top-down and bottom-up perception mechanisms are used along with low level color and spatial features. By the guidance of several Gestalt laws, the proposed method can successfully suppress the backgroundness and highlight the region of interests. Comprehensive experiments on many popular large datasets have validated the superior performance of the proposed methodology in benchmarking with 8 unsupervised approaches. Pedestrian detection is always an important task in urban surveillance, which can be further applied for pedestrian tracking and recognition. In general, visible and thermal imagery are two popularly used data sources, though either of them has pros and cons. A novel approach is proposed to fuse the two data sources for effective pedestrian detection and tracking in videos. For the purpose of pedestrian detection, background subtraction is used, where an adaptive Gaussian mixture model (GMM) is employed to measure the distribution of color and intensity in multi-modality images (RGB images and thermal images). These are integrated to determine the background model where biologically knowledge is used to help refine the background subtraction results. In addition, a constrained mean-shift algorithm is proposed to detect individual persons from groups. Experiments have fully demonstrated the efficacy of the proposed approach in detecting the pedestrians and separating them from groups for successfully tracking in videos.

Download or read book Progress in Pattern Recognition Image Analysis and Applications written by José Ruiz-Shulcloper and published by Springer. This book was released on 2008-09-17 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, held in Havana, Cuba, in September 2008. The 93 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on signal analysis for characterization and filtering, analysis of shape and texture, analysis of speech and language, data mining, clustering of images and documents, statistical pattern recognition, classification and description of objects, classification and edition, geometric image analysis, neural networks, computer vision, image coding, associative memories and neural networks, interpolation and video tracking, images analysis, music and speech analysis, as well as classifier combination and document filtering.

Download or read book Retina E Book written by Charles P. Wilkinson and published by Elsevier Health Sciences. This book was released on 2012-11-01 with total page 2498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unequalled in scope, depth, and clinical precision, Retina, 5th Edition keeps you at the forefront of today’s new technologies, surgical approaches, and diagnostic and therapeutic options for retinal diseases and disorders. Comprehensively updated to reflect everything you need to know regarding retinal diagnosis, treatment, development, structure, function, and pathophysiology, this monumental ophthalmology reference work equips you with expert answers to virtually any question you may face in practice. Consult this title on your favorite e-reader with intuitive search tools and adjustable font sizes. Elsevier eBooks provide instant portable access to your entire library, no matter what device you're using or where you're located. Examine and evaluate the newest diagnostic technologies and approaches that are changing the management of retinal disease, including future technologies which will soon become the standard. Put the very latest scientific and genetic discoveries, diagnostic imaging methods, drug therapies, treatment recommendations, and surgical techniques to work in your practice. Benefit from the extensive knowledge and experience of esteemed editor Dr. Stephen Ryan, five expert co-editors, and a truly global perspective from 358 other world authorities across Europe, Asia, Australasia, and the Americas. Make the best use of new technologies with expanded and updated coverage of optical coherence tomography (OCT), fundus imaging, and autofluorescence imaging. Apply the latest knowledge on anti-VEGF therapy for age related macular degeneration, diabetic retinopathy and vein disease. Learn about artificial vision, drug delivery to the posterior segment, advances in macular surgery, vitrectomy, and complex retinal detachment, with updates on tumors, retinal genetics, cell biology, important basic science topics, and much more. Get the most out of new pharmacologic approaches in the management of age-related macular degeneration and diabetic retinopathy. In your practice, diagnostic evaluations, and now even treatments, will be influenced by recent scientific discoveries such as in the areas of nanotechnology, neuro protection, stem cells and gene therapy, among other scientific contributions. View videos of surgical procedures and access the complete contents of Retina, 5th Edition online at www.expertconsult.com, fully searchable, with regular updates and a downloadable image gallery.

Download or read book Computer Vision Methods for Fast Image Classification and Retrieval written by Rafał Scherer and published by Springer. This book was released on 2019-01-29 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.

Download or read book Recent Innovations in Computing written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2022-04-15 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8–9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

Download or read book Proceedings of Fourth International Conference on Computing Communications and Cyber Security written by Sudeep Tanwar and published by Springer Nature. This book was released on 2023-07-01 with total page 920 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.