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An image retrieval with color and texture features of image sub-blocks

size of the sub-block is fixed for all the images. Then the color and texture features of each sub-block are computed. A color feature;

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Content-Based Image Retrieval

an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a;

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Image Pattern Recognition

., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns;

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Image Retrieval Based on Content Using Color Feature

ranklet images, the color feature is extracted by calculating the color moments. The color moments are invariant to rotation and scaling. This;

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Image Description and Retrieval

This comprehensive reference introduces the intricate science of implementing image modelling and retrieval based on the shape, on the;

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Efficient trademark retrieval using weighted image features

demonstrates that the method based on multiple weighted images features with cooperative implementation between the CPU and GPU is an effective way;

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Image Texture Analysis

the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and;

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Advanced Digital Image Processing and Its Applications in Big Data

* New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and;

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Advanced Digital Image Processing and Its Applications in Big Data

This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand;

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Image Processing - Dealing with Texture 2nd Edition

the focus exclusively on an in-depth exploration of texture Contains a companion website with exercises and algorithms Includes;

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Digital Color Imaging

retrieval. Contents 1. Color Representation and Processing in Polar Color Spaces, Jesus Angulo, Sebastien Lefevre and Olivier Lezoray. 2. Adaptive;

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Fundamentals of Image Data Mining

image mining; emphasizes how to deal with real image data for practical image mining; highlights how such features as color, texture, and shape;

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Computer Analysis of Images and Patterns

submissions. The scope of the conference spans the following areas: 3D TV, biometrics, color and texture, document analysis, graph-based methods;

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Computer Analysis of Images and Patterns

submissions. The scope of the conference spans the following areas: 3D TV, biometrics, color and texture, document analysis, graph-based methods;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

of content based image retrieval Includes polygonal approximation techniques of shape features Details moment based, scale space and;

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Image Retrieval and Analysis Using Text and Fuzzy Shape Features

importance. Image Retrieval and Analysis Using Text and Fuzzy Shape Features: Emerging Research and Opportunities is a critical scholarly resource;

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Texture Analysis In Machine Vision

Texture analysis is an important generic research area of machine vision. The potential areas of application include biomedical image;

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Content-Based Retrieval of Medical Images

need to be characterized by quantitative features; the features of the query image are compared with the features of each image in the database;

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Fundamentals of Image Data Mining

sections on pre-processing, discrete cosine transform, and statistical inference and testing Demonstrates how features like color, texture, and;

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Fundamentals of Image Data Mining

sections on pre-processing, discrete cosine transform, and statistical inference and testing Demonstrates how features like color, texture, and;

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Object Recognition and Image Tagging

idea. Image retrieval research started with the form of Content Based Image Retrieval(CBIR); however, the progress encountered a bottleneck due;

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Image Processing

standard. Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as;

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Computational Color Imaging

detection and classification; color image features; and color image filtering and enhancement.;

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Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content;

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CMOS Analog and Mixed-Signal Circuit Design

an introduction to the CMOS analog and mixed-signal circuit design with further coverage of basic devices, such as the Metal-Oxide;

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CMOS Analog and Mixed-Signal Circuit Design

an introduction to the CMOS analog and mixed-signal circuit design with further coverage of basic devices, such as the Metal-Oxide;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields;

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