Computer Vision
Techniques and Implementations
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Vision is the most dynamic of all our senses. In our social structure, almost all of today's media are based on our vision. But, images obtained from different sources are mostly blurred, noisy or of low contrast. Thus, before any application the correction of these distortions is essential by some kind of image enhancement techniques to make the information comprehensible. An important process of image analysis is the recognition of regions in images achieved through segmentation, the development of which is imperative due to the important information found in the regions about the objects us...
Vision is the most dynamic of all our senses. In our social structure, almost all of today's media are based on our vision. But, images obtained from different sources are mostly blurred, noisy or of low contrast. Thus, before any application the correction of these distortions is essential by some kind of image enhancement techniques to make the information comprehensible. An important process of image analysis is the recognition of regions in images achieved through segmentation, the development of which is imperative due to the important information found in the regions about the objects used for identification. Image filtering is also an important technique for noise removal from noisy images. This book, besides providing a fundamental knowledge on geometric image features, also highlights various advanced image enhancement techniques which are more efficient than the conventional ones. Various modern approaches to region segmentation and filtering using both linear and non-linear filters are emphasized quantitatively, with appropriate coding and successful MATLAB implementations. Such dynamic developments make it a science and technology with a promising future and potential.
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