Download or read book Hybrid Image and Signal Processing written by and published by . This book was released on 2002 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing VIII written by David Paul Casasent and published by Society of Photo Optical. This book was released on 2002 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing IV written by David Paul Casasent and published by . This book was released on 1994 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image Processing Methods for Medical Image Examination written by Venkatesan Rajinikanth and published by CRC Press. This book was released on 2021-01-29 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

Download or read book Hybrid Image and Signal Processing III written by David Paul Casasent and published by Society of Photo Optical. This book was released on 1992 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing IV written by David Paul Casasent and published by . This book was released on 1994 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing VIII written by and published by . This book was released on 2002 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing VII written by David Paul Casasent and published by SPIE-International Society for Optical Engineering. This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing V written by David Paul Casasent and published by . This book was released on 1996 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing II written by Society of Photo-optical Instrumentation Engineers and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing written by David Paul Casasent and published by SPIE-International Society for Optical Engineering. This book was released on 1988 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing written by and published by . This book was released on 1988 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image and Signal Processing II written by David Paul Casasent and published by Society of Photo Optical. This book was released on 1990 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image Acquisition and Signal Processing Systems for High Resolution written by and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of the research was to investigate longitudinal and lateral resolving power of hybrid optical/digital imaging systems. Most loss of resolution is due to aberrations in the lens. The hybrid system modified the optics to be invariant to focus-related aberrations, yielding intermediate images with better lateral resolution. The post processing of the intermediate image resulted in a high-quality, high-resolution image. A matrix method was developed for analyzing imaging systems. A means was found for overcoming the effects of lack of spatial stationarity on hybrid systems. Channel reduction techniques were developed to do more efficient processing of color images. This allows only one channel of a three-color image to be processed, and then the color added back to the image. A new technique was developed for measuring the axial depth of an image that had an error of less than 0.1% of the distance. This was demonstrated to be effective for passive ranging.

Download or read book Hybrid Image and Signal Processing III written by Andrew G. Casasent and published by . This book was released on 1992 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Image Processing Methods for Medical Image Examination written by Venkatesan Rajinikanth and published by CRC Press. This book was released on 2021-01-29 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

Download or read book Applications of Hybrid Metaheuristic Algorithms for Image Processing written by Diego Oliva and published by Springer Nature. This book was released on 2020-03-27 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.