Dynamic Background Removing Using Gabor Filter |
Author(s): |
| Joshi Jignesh , Government Engineering College Modasa |
Keywords: |
| Gabor filter, background modelling, foreground detection, performance evaluation, object detection |
Abstract |
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In computer vision, image segmentation is the process of partitioning a digital image into multiple segments. The goal of background removing is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Background removing is typically used to locate objects and boundaries (lines, curves, etc.) in images. Identifying moving objects could be a crucial task for several computer vision applications; it provides a classification of the pixels into either foreground or background. A typical approach wont to deliver the goods such classification is background removal. In this paper confirm that the Gabor Filter used to remove dynamic background for given image. |
Other Details |
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Paper ID: IJSRDV2I1304 Published in: Volume : 2, Issue : 1 Publication Date: 01/05/2014 Page(s): 796-798 |
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