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Hybrid Image Processing Methods for Medical Image Examination (Hardcover)
Loot Price: R3,043
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Hybrid Image Processing Methods for Medical Image Examination (Hardcover)
Series: Intelligent Signal Processing and Data Analysis
Expected to ship within 12 - 17 working days
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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
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