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A Study on the Convergence Technique enhanced GrabCut Algorithm Using Color Histogram and modified Sharpening filter
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 Title & Authors
A Study on the Convergence Technique enhanced GrabCut Algorithm Using Color Histogram and modified Sharpening filter
Park, Jong-Hun; Lee, Gang-Seong; Lee, Sang-Hun;
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 Abstract
In this paper, we proposed image enhancement method using sharpening filter for improving the accuracy of object detection using the existing Grabcut algorithm. GrabCut algorithm is the excellent performance extracting an object within a rectangular window range, but it has the drawback of the inferior performance in image with no clear distinction between background and objects. So, in this paper, reinforcing the brightness and clarity through histogram equalization, and tightening the border of the object using the sharpening filter look better than that extracted result of existing GrabCut algorithm in a similar image of the object and the background. Based on improved Grabcut algorithm, it is possible to obtain an improved result in the image processing convergence technique of character recognition, real-time object tracking and so on.
 Keywords
Object Extraction;GrabCut;Sharpening Filter;Color Histogram;Convergence Technique;
 Language
Korean
 Cited by
 References
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