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Application of Stochastic Gradient Kernel in Watershed Segmentation to be used in Noisy Environment
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 74 - Number 13 |
| Year of Publication: 2013 |
| Authors: Dibyendu Ghoshal, Pinaki Pratim Acharjya |
10.5120/12944-9997
|
Dibyendu Ghoshal, Pinaki Pratim Acharjya . Application of Stochastic Gradient Kernel in Watershed Segmentation to be used in Noisy Environment. International Journal of Computer Applications. 74, 13 ( July 2013), 9-15. DOI=10.5120/12944-9997
Abstract
Morphological image processing has been widely used for segmentation of binary, grayscale and color images. To extend the concept of segmentation, an ordering of the data is required. In this research paper, an effective methodology for digital color image segmentation has been publicized with stochastic gradients and watershed algorithm. The results demonstrate that combining of these two strategies has been very helpful for image segmentation and for computer vision, even in noisy images. The efficiency of the proposed methodology has been explained by experimental results and statistical measurements.
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