A Survey on Content Based Image Retrieval using Low-Level Features Extraction |
Author(s): |
| Joshi Brinda Nayankumar , L. J. INSTITUTE OF ENGINEERING AND TECHNOLOGY; Narendrasinh Limbad, L. J. INSTITUTE OF ENGINEERING AND TECHNOLOGY |
Keywords: |
| Content Based Image Retrieval, Feature Extraction, Feature Matching, CBIR |
Abstract |
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One of the important research areas in Image processing is the retrieval of images. When size of database increases continuously, the applications involving images face new challenges such as storage management, indexing, knowledge management and retrieval presentation. We need an efficient retrieval mechanism to retrieve images from the multimedia database. CBIR- Content-based image retrieval is an image retrieval technique used to retrieve images efficiently by using low level image features like texture, shape and color. This survey paper focuses on different features descriptors for image retrieval and analysis of various retrieval techniques using low level features- color, texture and shape –to improve the performance and accuracy in CBIR system. |
Other Details |
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Paper ID: IJSRDV3I90408 Published in: Volume : 3, Issue : 9 Publication Date: 01/12/2015 Page(s): 626-632 |
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