International Journal of Advanced Networking and Applications

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Content-Based Image Retrieval Features:A Survey


Affiliations
1 Department of Computer Science, COMSATS Institute of Information Technology, WahCantt, Pakistan
 

Content-Based Image Retrieval (CBIR) systems have been used for the searching of relevant images in various research areas. In CBIR systems features such as shape, texture and color are used. The extraction of features is the main step on which the retrieval results depend. Color features in CBIR are used as in the color histogram, color moments, conventional color correlogram and color histogram. Color space selection is used to represent the information of color of the pixels of the query image. The shape is the basic characteristic of segmented regions of an image. Different methods are introduced for better retrieval using different shape representation techniques; earlier the global shape representations were used but with time moved towards local shape representations. The local shape is more related to the expressing of result instead of the method. Local shape features may be derived from the texture properties and the color derivatives. Texture features have been used for images of documents, segmentation-based recognition,and satellite images. Texture features are used in different CBIR systems along with color, shape, geometrical structure and sift features.

Keywords

CBIR, Feature Extraction, Feature Selection, Color, Texture, Shape.
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  • Content-Based Image Retrieval Features:A Survey

Abstract Views: 244  |  PDF Views: 0

Authors

Anum Masood
Department of Computer Science, COMSATS Institute of Information Technology, WahCantt, Pakistan
Muhammad Alyas Shahid
Department of Computer Science, COMSATS Institute of Information Technology, WahCantt, Pakistan
Muhammad Sharif
Department of Computer Science, COMSATS Institute of Information Technology, WahCantt, Pakistan

Abstract


Content-Based Image Retrieval (CBIR) systems have been used for the searching of relevant images in various research areas. In CBIR systems features such as shape, texture and color are used. The extraction of features is the main step on which the retrieval results depend. Color features in CBIR are used as in the color histogram, color moments, conventional color correlogram and color histogram. Color space selection is used to represent the information of color of the pixels of the query image. The shape is the basic characteristic of segmented regions of an image. Different methods are introduced for better retrieval using different shape representation techniques; earlier the global shape representations were used but with time moved towards local shape representations. The local shape is more related to the expressing of result instead of the method. Local shape features may be derived from the texture properties and the color derivatives. Texture features have been used for images of documents, segmentation-based recognition,and satellite images. Texture features are used in different CBIR systems along with color, shape, geometrical structure and sift features.

Keywords


CBIR, Feature Extraction, Feature Selection, Color, Texture, Shape.

References