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Texture Feature Extraction Techniques for Image Recognition

The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the;

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Image Analysis and Recognition

. The papers are organized in topical sections on image and video processing; feature extraction and pattern recognition; computer vision; color;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification;

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Feature Extraction and Image Processing for Computer Vision

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural;

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Machine Vision

extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

Covers the fundamentals of shape feature extraction from images Discusses different applications of image shape feature in the field;

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Mathematical Image Processing

Mathematics and Image Processing held at the University of Orleans in 2010. They mainly concern, image reconstruction, texture extraction and image;

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Hybrid Metaheuristics for Image Analysis

problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using;

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Iris Texture Analysis

An efficient method for personal recognition is iris texture analysis. This personal recognition system is considered one of the most;

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Handwritten Gurumukhi Character Recognition

Technique for removing noise from handwritten Characters. . Segmentation Techniques for dividing characters . Feature Extraction technique for;

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Image Analysis and Recognition

submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image;

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Content-Based Image Classification

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to;

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Feature Extraction & Image Processing

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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Computer Vision and Image Processing

covered include: image representation, feature extraction, feature recognition, architecture of computer vision systems, tracking moving objects;

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Image Pattern Recognition

Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to;

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Feature Extraction Approaches for Optical Character Recognition

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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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

networks and vision, image feature extraction, face and gesture recognition and biometric authenticationPattern recognition algorithms;

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Computer Vision and Image Processing

, image processing concepts, concept of feature extraction and feature selection for pattern classificationrecognition, and advanced concepts;

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Computer Vision and Image Processing

, image processing concepts, concept of feature extraction and feature selection for pattern classificationrecognition, and advanced concepts;

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Medical Imaging and Computer Aided Diagnosis

, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human;

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Human Emotion Recognition from Face Images

using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and;

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Human Emotion Recognition from Face Images

using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and;

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Iris Image Recognition

techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands;

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Pattern Recognition

discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical;

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Animal Biometrics

in-depth coverage of this emerging area, with an emphasis on the design and analysis techniques used in visual animal biometrics-based recognition;

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Image Analysis

in topical sections on feature extraction and segmentation, pattern recognition and machine learning, medical and biomedical image analysis, faces;

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