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Random Walker Segmentation based Contrast Enhancement of Dark Images with Canny Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 122 - Number 22 |
| Year of Publication: 2015 |
| Authors: Harshit Khare, Sanjay Sharma |
10.5120/21856-5177
|
Harshit Khare, Sanjay Sharma . Random Walker Segmentation based Contrast Enhancement of Dark Images with Canny Detection. International Journal of Computer Applications. 122, 22 ( July 2015), 13-15. DOI=10.5120/21856-5177
Abstract
Contrast enhancement is a technique which enables images to improve the contrast level of images. Contrast enhancement of images requires filtering of regions where contrast level is high or where noise level is more. The techniques such as non-dynamic based stochastic resonance are implemented but the technique provides less accuracy of contrast improvement. Hence an efficient technique is implemented here by segmented the low contrast region of the image and then filtering is performed on the segmented region using transformation. The proposed methodology greatly improves the contrast enhancement of the images.
References
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