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Book synopsis

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Book details

• Full title: Advances in Soft Computing and Machine Learning in Image Processing
• Author: Aboul Ella Hassanien, Diego Alberto Oliva
• Language: English
• Binding: Paperback
• Number of pages: 718
• EAN: 9783319876276
• ID: 21375665
• Publisher: Springer International Publishing AG
• Weight: 1104 g
• Dimensions: 235 × 155 × 40 mm
• Date of publishing: 09. September 2018

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