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Approach of Using Texture and Shape for Image Retrieval

Approach of Using Texture and Shape for Image Retrieval

Gang Zhang, Zongmin Ma, Li Yan
Copyright: © 2012 |Pages: 16
ISBN13: 9781613501269|ISBN10: 1613501269|EISBN13: 9781613501276
DOI: 10.4018/978-1-61350-126-9.ch002
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MLA

Zhang, Gang, et al. "Approach of Using Texture and Shape for Image Retrieval." Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies, edited by Li Yan and Zongmin Ma, IGI Global, 2012, pp. 30-45. https://doi.org/10.4018/978-1-61350-126-9.ch002

APA

Zhang, G., Ma, Z., & Yan, L. (2012). Approach of Using Texture and Shape for Image Retrieval. In L. Yan & Z. Ma (Eds.), Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies (pp. 30-45). IGI Global. https://doi.org/10.4018/978-1-61350-126-9.ch002

Chicago

Zhang, Gang, Zongmin Ma, and Li Yan. "Approach of Using Texture and Shape for Image Retrieval." In Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies, edited by Li Yan and Zongmin Ma, 30-45. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-126-9.ch002

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Abstract

Feature integration is one of important research contents in content-based image retrieval. Single feature extraction and description is foundation of the feature integration. Features from a single feature extraction approach are a single feature or composite features, whether integration features are more discriminative than them or not. An approach of integrating shape and texture features was presented and used to study these problems. Gabor wavelet transform with minimum information redundancy was used to extract texture features, which would be used for feature analyses. Fourier descriptor approach with brightness was used to extract shape features. Then both features were integrated in parallel by weights. Comparisons were carried out among the integration features, the texture features, and the shape features, so that discrimination of the integration features can be testified.

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