CBIR for CT Brain Images using SVM |
Author(s): |
| Rinkeshkumar patel , G.H.Patel college of Engineering and Technology; Shankar Parmar, G.H.Patel college of Engineering and Technology |
Keywords: |
| content based image retrieval, query, database, feature, supporting vector machine, hyperplane. |
Abstract |
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Content Based Image Retrieval (CBIR) is emerging as important research in area of revolutionary internet and digital technology. The focus of this paper is on efficient retrieval of similar images in a particular brain images using supporting vector machine (SVM). Instead of traditional low level features like color texture and shape which are uses in most of CBIR system Current approaches replace reshaped Image intensity as a feature to guide SVM system and applied to brain CT images. Original image is reshape to predefined size to limit the size of feature vector. Single matrix is generated as a database and class is assign to this matrix rows to train the SVM. This system helps radiologist to assist for evidence based practice or image based reasoning in his daily practice. Experimental results shows that the propose method is adequate and condescending to some other existing method |
Other Details |
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Paper ID: IJSRDV2I4383 Published in: Volume : 2, Issue : 4 Publication Date: 01/07/2014 Page(s): 786-791 |
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