Integrated Region-Based Image Retrieval

Integrated Region-Based Image Retrieval

by James Z. Wang
     
 

Content based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. Wang (Pennsylvania State U.) explains the CBIR system, designed by him and his colleagues, that utilizes wavelet- based feature extraction, semantics classification, and integrated region matching. Images… See more details below

Overview

Content based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. Wang (Pennsylvania State U.) explains the CBIR system, designed by him and his colleagues, that utilizes wavelet- based feature extraction, semantics classification, and integrated region matching. Images are represented by sets of regions, characterized by color, texture, shape, and location and are then classified into semantic categories. This enhances semantically-adaptive searching methods by narrowing down the searching range within the database. Wang believes that his methods will have many applications, especially in the biomedical fields.

Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9781461356554
Publisher:
Springer US
Publication date:
04/30/2013
Series:
Information Retrieval Series, #11
Edition description:
Softcover reprint of the original 1st ed. 2001
Pages:
178
Product dimensions:
6.14(w) x 9.21(h) x 0.42(d)

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