A Cellular Automata Approach for Superpixel Segmentation

摘要：

This paper presents a novel Cellular Automata (CA) approach for image segmentation. We treat the image segmentation problem as cell merging in a cellular space constructed in the image plane. A cell is defined to be a pixel or a group of pixels with close RGB values. In each iteration, a cell checks the similarities between itself and its neighboring cells. Cells with similar properties are merged into large cells, which will eventually lead to high quality superpixels. The segmentation process is a trade-off between accuracy and computation cost. We have proved that the proposed approach is able to obtain satisfactory results efficiently while keeping image details.

关键词： superpixels segmentation image proceesing cellular automata artiftcal intelligence

作者: D. Wang N.M. Kwok X. Jia G. Fang

作者单位: School of Mechanical and Manufacturing Engineering The University of New South Wales, Australia School of Information Technology and Electrical Engineering The University of New South Wales, Austr School of Engineering University of Western Sydney, Australia

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1122-1126

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）