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Titlebook: Computational Intelligence in Image Processing; Amitava Chatterjee,Patrick Siarry Book 2013 Springer-Verlag Berlin Heidelberg 2013 computa

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发表于 2025-3-21 17:45:10 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence in Image Processing
编辑Amitava Chatterjee,Patrick Siarry
视频video
概述Most comprehensive and up-to-date treatment of computational intelligence techniques applied to image processing applications.Content is characterized by an emphasis on solving real-world problem.Cont
图书封面Titlebook: Computational Intelligence in Image Processing;  Amitava Chatterjee,Patrick Siarry Book 2013 Springer-Verlag Berlin Heidelberg 2013 computa
描述.Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems. .Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing. The book offers a unified view of the modern computational intelligence tech­niques required to solve real-world problems and
出版日期Book 2013
关键词computational intelligence; digital images; digital watermarking; evolutionary algorithms; evolutionary
版次1
doihttps://doi.org/10.1007/978-3-642-30621-1
isbn_softcover978-3-642-43164-7
isbn_ebook978-3-642-30621-1
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Locally-Equalized Image Contrast Enhancement Using PSO-Tuned Sectorized Equalizationccess of subsequent operations such as feature detection, pattern recognition and other higher-level processing tasks. Of interest among methods available for contrast enhancement is the intensity modification approach, which is based on the statistics of pixels in a given image. However, due to var
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A Genetic Programming Approach for Image Segmentationroblem where some regions of an image are labeled as foreground (object of interest) or background. GP uses a set of terminals and nonterminals, composed by algebraic operations and convolution filters. A function fitness is defined as the difference between the desired segmented image and that obta
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A Fuzzy Condition-Sensitive Hierarchical Algorithm for Approximate Template Matching in Dynamic Imagrmining the best matched target block in the image with respect to the template. This chapter develops a hierarchical algorithm of template matching using decision trees. Nodes in the tree, here, represent the features used for matching, while the arcs denote the conditions on the features to separa
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Digital Watermarking Strings with Images Compressed by Fuzzy Relation Equationsbmatrices defined as blocks, and each block . is coded to a fuzzy relation ., which in turn is decoded to a fuzzy relation . (unsigned) whose values are greater than those of .. Both . and . are obtained via fuzzy relation equations with continuous triangular norms (in particular, here we use the Lu
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Study on Human Brain Registration Process Using Mutual Information and Evolutionary Algorithmsm. In the present work a similarity measure has been implemented for affine multimodality (MR and CT) image registration of sections of the human brain. In addition, a similarity measure is built on both intensity and gradient-based images. In the present work, the region of interest (ROI), the vent
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