Improvised Salient Object Detection and Manipulation
In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process turns out to be quite time consuming. Here a novel approach a...
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| Published in | International journal of image, graphics and signal processing Vol. 8; no. 2; pp. 53 - 60 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Hong Kong
Modern Education and Computer Science Press
08.02.2016
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| Online Access | Get full text |
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| Summary: | In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process turns out to be quite time consuming. Here a novel approach and a simple solution to the above problem is discussed. In this paper, we implement an approach to object manipulation and detection through segmentation map, which would help to de-saturate or, in other words, wash out the background of the image. Evaluation for the performance is carried out using the Jaccard index against the well-known Ground-truth target box technique. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2074-9074 2074-9082 |
| DOI: | 10.5815/ijigsp.2016.02.07 |