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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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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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Computer Vision and Image Processing

, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts;

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Computer Vision and Image Processing

, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts;

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Image Analysis and Processing -- ICIAP 2009

processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern;

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A Beginner's Guide to Image Preprocessing Techniques

unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the;

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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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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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Introduction to Digital Image Processing

principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with;

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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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Adaptive Image Processing

content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content;

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Object-Based Image Analysis and Treaty Verification

, feature extraction, change detection, classification and interpretation are developed, applied and evaluated. The analysis chain is demonstrated;

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Signal and Image Processing Techniques for the Development of Intelligent Health

future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden;

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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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New Signal Processing Research

from noise (for example, aircraft identification by radar), compression (for example, image compression), and feature extraction (for example;

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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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Image Analysis

; image processing and applications; feature extraction and segmentation; remote sensing; medical and biomedical image analysis; faces, gestures;

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Image Analysis

; image processing and applications; feature extraction and segmentation; remote sensing; medical and biomedical image analysis; faces, gestures;

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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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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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Image Processing using Pulse-Coupled Neural Networks

Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images;

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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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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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Recent Trends in Signal and Image Processing

processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object;

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Histopathological Image Analysis in Medical Decision Making

technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification;

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Feature Extraction Approaches for Optical Character Recognition

, mail processing, form processing and many other similar situations. Every realistic character recognition system requires a feature extraction;

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