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Covers the fundamentals of shape feature extraction from images Discusses different applications of image shape feature in the field;
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. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape;
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Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and;
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Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied;
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Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to;
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morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing;
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The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient;
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also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and;
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interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and;
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interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and;
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techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book;
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. The papers are organized in topical sections on image and video processing; feature extraction and pattern recognition; computer vision; color;
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Directed at third-year undergraduates and postgraduates this challenging text offers a complete and up-to-date introduction to computer;
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like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching;
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like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching;
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This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new;
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This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows;
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-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal;
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Content-based image retrieval (CBIR) is the process of retrieval of images from a database that are similar to a query image, using;
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This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation of species and;
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processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern;
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classification and involve a variety of different methods and applications. Therefore it was impossible to split the papers into generic groups which;
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content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content;
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to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and;
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step in order to properly operate. This book is a large-scale review of the feature extraction approaches for character recognition based on;
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