A PREDICTABLE IMAGE RETRIEVING SYSTEM USING SEGMENTATION AND REGION OF INTEREST

Authors

  • Mrs.Dipti U.Chavan Ashokrao Mane Group Of Institutions, Vathar, Kolhapur, Maharashtra.
  • Prof. P.B.Ghewari Asst.Prof. Ashokrao Mane Group Of Institutions, Vathar, Kolhapur, Maharashtra.

Keywords:

Image retrieval, Object segmentation, Image Databases

Abstract

This paper focuses on a probabilistic generative model that concurrently tackles the problems of image retrieval and region-of-interest (ROI) segmentation. In this paper two main properties of matching process are discussed, namely: 1) objects undergoing a geometric transformation, typical spatial location of the region of interest & 2) visual similarity. These two properties used in our approach improve the reliability of detected true matches between any pair of images. Furthermore, by taking advantage of the links to the ROI provided by the true matches, the proposed method is able to perform a suitable ROI segmentation. Finally, the proposed method is able to work when there is more than one ROI in the query image. With this experiments on two challenging image retrieval datasets, proved that our approach clearly outperforms the most prevalent approach for geometrically constrained matching.

Furthermore, the proposed technique concurrently provides very good segmentations of the ROI Image segmentation and object detection in multi-object image retrieval tasks.

References

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Additional Files

Published

15-03-2016

How to Cite

Mrs.Dipti U.Chavan, & Prof. P.B.Ghewari. (2016). A PREDICTABLE IMAGE RETRIEVING SYSTEM USING SEGMENTATION AND REGION OF INTEREST. International Education and Research Journal (IERJ), 2(3). Retrieved from https://ierj.in/journal/index.php/ierj/article/view/162