a modified grabcut using a clustering technique to reduce image noise
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ID: 148416
2016
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Abstract
In this paper, a modified GrabCut algorithm is proposed using a clustering technique to reduce image noise. GrabCut is an image segmentation method based on GraphCut starting with a user-specified bounding box around the object to be segmented. In the modified version, the original image is filtered using the median filter to reduce noise and then the quantized image using K-means algorithm is used for the normal GrabCut method for object segmentation. This new process showed that it improved the object segmentation performance a lot and the extract segmentation result compared to the standard method.
| Reference Key |
lee2016symmetrya
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|---|---|
| Authors | ;GangSeong Lee;SangHun Lee;GaOn Kim;JongHun Park;YoungSoo Park |
| Journal | journal of hospitality and tourism management |
| Year | 2016 |
| DOI |
10.3390/sym8070064
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| URL | |
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