Soft Computing For Image Processing : edited by Sankar K. Pal, Ashish Ghosh and Malay K. Kundu

By:

Pal, Sankar K

Language: English Series: Studies in fuzziness and soft computing ; 42Publication details: New York Physica-verlag 2000Description: (xvii, 590 pages) ill 23 cmISBN:

9783790812688

Subject(s):

Image Processing Digital Techniques

DDC classification:

006.35 PAL

Summary: The articles, written by leading experts all over the world, demonstrate the various ways the fuzzy logic, artificial neural networks, genetic algorithms and fractals can be used independently and in integrated manner to provide efficient and flexible information processing capabilities in a stronger computational paradigm for handling the tasks like filtering, edge detection, segmentation, compression, classification, motion estimation, character regognition and target identification. Application domain includes, among others, data mining, computer vision, pattern recognition and machine learning, information technology, remote sensing, forensic investigation, video abstraction and knowledge based systems

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Item type	Current library	Call number	Status	Barcode
Reference	Anna Centenary Library 3RD FLOOR, A WING	006.35 PAL (Browse shelf(Opens below))	Not for loan	211373

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Previous	006.35 LEH Strategies For Natural Language Processing	006.35 LU, Recommender Systems: Advanced Developments	006.35 MOT;1 Machine Learning For Text and Image Data Analysis: Practical Approach With Business Use Cases	006.35 PAL Soft Computing For Image Processing :	006.35 PAT Systemic Text Generation As Problem Solving	006.35 RAO Natural language processing with Pytorch build intelligent language applications using deep learning	006.35 RAO;1 Natural language processing with Pytorch build intelligent language applications using deep learning	Next

The articles, written by leading experts all over the world, demonstrate the various ways the fuzzy logic, artificial neural networks, genetic algorithms and fractals can be used independently and in integrated manner to provide efficient and flexible information processing capabilities in a stronger computational paradigm for handling the tasks like filtering, edge detection, segmentation, compression, classification, motion estimation, character regognition and target identification. Application domain includes, among others, data mining, computer vision, pattern recognition and machine learning, information technology, remote sensing, forensic investigation, video abstraction and knowledge based systems

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Soft Computing For Image Processing : edited by Sankar K. Pal, Ashish Ghosh and Malay K. Kundu

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