A Literature Review on Image Retrieval using CBIR |
Author(s): |
| Rajeev Yadav , Surabhi College of Engineering and Technology, ( SCET), Bhopal ; Prof. Malti Nagle, Surabhi College of Engineering and Technology, ( SCET), Bhopal |
Keywords: |
| Image retrieval, Content-Based Image Retrieval (CBIR) |
Abstract |
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In this survey paper introduced the literature survey on the image retrieval using different technologies. Image retrieval techniques are the future of search engine technology. Content-based image retrieval (CBIR) is the retrieval of relevant images from an image database based on automatically derived features, such as color, texture, and shape which represent the information content of the image. Content-Based Image Retrieval (CBIR) systems help users to retrieve relevant images based on their contents such as color and texture. There are different methods of image revivals are current present in the current world. In this survey paper discuss some of them techniques and its properties. In the image retrieval process for the classification of the image that extracted by features used SVM, multi-level SVM and other classifier. |
Other Details |
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Paper ID: IJSRDV5I20048 Published in: Volume : 5, Issue : 2 Publication Date: 01/05/2017 Page(s): 1085-1088 |
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