Get Computational Intelligence in Image Processing PDF

By Amitava Chatterjee, Patrick Siarry

ISBN-10: 3642306209

ISBN-13: 9783642306204

Computational intelligence dependent thoughts have firmly confirmed themselves as workable, exchange, mathematical instruments for greater than a decade. they've been widely hired in lots of structures and alertness domain names, between those sign processing, automated regulate, commercial and shopper electronics, robotics, finance, production structures, electrical strength platforms, and gear electronics. picture processing is usually an incredibly effective quarter which has attracted the atten­tion of many researchers who're attracted to the improvement of latest computational intelligence-based thoughts and their appropriate purposes, in either examine prob­lems and in real-world difficulties.

Part I of the ebook discusses a number of picture preprocessing algorithms; half II generally covers picture compression algorithms; half III demonstrates how computational intelligence-based thoughts should be successfully applied for photograph research reasons; and half IV indicates how trend popularity, type and clustering-based recommendations may be constructed for the aim of picture inferencing. The booklet bargains a unified view of the trendy computational intelligence tech­niques required to unravel real-world difficulties and it's compatible as a reference for engineers, researchers and graduate students.

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Extra info for Computational Intelligence in Image Processing

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Virtual restoration of ancient chinese paintings using color contrast enhancement and lacuna texture synthesis. IEEE Trans. Image Process. 13(3), 416–429 (2004) 17. : Image sharpening by morphological filtering. Pattern Recognit. 33, 997–1012 (2000) 18. : Ratio rule and homomorphic filter for enhancement of digital colour image. Neurocomputing 69, 954–958 (2006) 19. : A genetic algorithm approach to color image enhancement. Pattern Recognit. 31(7), 871–880 (1998) 20. : Gray and color image contrast enhancement by the curvelet transform.

The equilibrium value S ∗ is the point at which the rate of arrival of species λ is exactly matched by the rate of emigration μ. We have assumed here that μ and λ vary following linear relationships, but different mathematical models of biogeography that include more complex variations have also been proposed [17]. We now consider the probability Ps that the habitat contains exactly S species. 21) 3 Hybrid BBO-DE Algorithms for Fuzzy Entropy-Based Thresholding 47 This states that the number of species on the habitat in one time step is based on the total number of current species on the habitat, the new immigrants and the number of species that leave the habitat during this time period.

Consumer Electron. 49(4), 1310–1319 (2003) 3. : Vision processing for realtime 3d data acquisition based on coded structured light. IEEE Trans. Image Process. 17(2), 167–176 (2008) 4. : A simple and effective histogram equalization approach to image enhancement. Digit. Signal Process. 14, 158–170 (2004) 5. : The particle-swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58–73 (2002) 6. : Enhancing digital cephalic radiography with mixture models and local gamma correction.

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Computational Intelligence in Image Processing by Amitava Chatterjee, Patrick Siarry


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