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A Zernike Moment based Modified CBIR System with Canny Edge Detector
| National Conference on Intelligent Systems (NCIS 2014) |
| Foundation of Computer Science USA |
| NCIS2014 - Number 1 |
| July 2015 |
| Authors: Kushik Bharadwaj, Gaur Sanjay B.c. |
| 7e99ded4-04f3-495e-a752-67de7f60e6f3 |
Kushik Bharadwaj, Gaur Sanjay B.c. . A Zernike Moment based Modified CBIR System with Canny Edge Detector. National Conference on Intelligent Systems (NCIS 2014). NCIS2014, 1 (July 2015), 17-22.
Abstract
The moment invariants are used as a feature space for pattern recognition. Shape and texture representation is a fundamental issue in the newly emerging multimedia applications. This work addresses the problem of retrieval in case of rotation, shape, resizing, and translation of an image in the content based image retrieval system. A modified Zernike moment with canny edge detector can be used for the retrieval of an image for such cases. The proposed method is very useful and efficient to retrieve a query image from a very huge complex database. The method has been tested over 400 images from four different groups like Cars (automobiles), Vegetables, Human faces, Natural images etc. Through the result it is found that the proposed method works equally better in all kind of images than the available techniques.
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