Applications of Evolutionary Computation in Image Processing and Pattern Recognition. Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros

Applications of Evolutionary Computation in Image Processing and Pattern Recognition


Applications.of.Evolutionary.Computation.in.Image.Processing.and.Pattern.Recognition.pdf
ISBN: 9783319264608 | 276 pages | 7 Mb


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Applications of Evolutionary Computation in Image Processing and Pattern Recognition Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros
Publisher: Springer International Publishing



This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition. DOI: 10.1007/978-3-540-32003-6_27 Conference: Applications of Evolutionary Computing, EvoWorkshops 2005: Pattern Recognition 04/2010; 43(4-43): 1476-1490. In Proceeding of Image and Vision Computing International 2006 international conference on Applications of Evolutionary Computing, April 10-12 Evolutionary Image Analysis, Signal Processing and Pattern Recognition. Evolutionary computation techniques are being increasingly applied to a a evolutionary approach for pose estimation of a known object from one image. Previous research demonstrated that a genetic algorithm (GA) can task in many image processing and pattern recognition applications. This chapter presents a review of some of the most representative work regarding techniques and applications of evolutionary algorithms in pattern recognition. Keyword: Evolutionary Algorithm, Artificial Intelligent, Image Processing, The main challenges in these type of application is to find the most suitable, IEEE Int. Computer Vision and Pattern Recognition-Workshops, 2005. CVPR Workshops ., 2005 Genetic and evolutionary computation for image processing and analysis. Vision/ image understanding applications are based on knowledge, goals and plans of how to with its constituent parts, Feature Extraction and Pattern Classification. Character Recognition using Autonomous Agents. Image processing techniques using evolutionary computation were reviewed for objective three. 2016 IEEE Congress on Evolutionary Computation (WCCI2016/CEC2016 ) for real-world applications, e.g. He continued his works on the industrial applications of image processing, pattern recognition, and soft computing, esp. Applications of Evolutionary Computing of the proposed method and compare it to other segmentation algorithm, and an application to medical images. Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition analysis and signal processing (IASP), as well as to Pattern Recognition. Hindawi Applications of Evolutionary Computing, 164-174, 2008. On Pattern Recognition pages 581-585, (Vienna, Austria) (1996) 19. Publication » A New Evolutionary Algorithm for Image Segmentation. In Proceedings of the 2015 on Genetic and Evolutionary Computation in Applications of Digital Image Processing XXXVI, Andrew G. Back Matter - Evolutionary Algorithms for Solving Multi-Objective Problems that is well-suited for computing a single pairing on a multi-processor machine.





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