The Open Cybernetics & Systemics Journal
2015, 9 : 28-31Published online 2015 February 19. DOI: 10.2174/1874110X01509010028
Publisher ID: TOCSJ-9-28
Image Segmentation Based on Fast Normalized Cut
Modern Education Technology Center, Qiqihar Medical University, Qiqihar, China.
ABSTRACT
In this paper, we propose a fast image segmentation method based on normalized cut. This method apply simple linear iterative clustering super-pixel algorithm to obtain super-pixel regions, and then use affinity propagation clustering to extract the representative pixels in each super-pixel regions, Finally, we apply normalized cut to obtain segmentation results. At the end of the paper, Numerical experiments are presented to demonstrate the effectiveness of our proposed method.