Image Segmentation Based on Two-dimensional Cloud Model
There are many uncertainties in image segmentation, which should be handled by theories and methods with uncertainty. Cloud model is a kind of effective method to handle uncertainty, which considers fuzziness, randomness and the connection of them. Image segmentation based on one-dimensional cloud model processes the one-dimensional grayscale histogram, and segments images using onedimensional cloud transformation and synthesis, but does not consider spatial information of images. The paper proposes a method based on two-dimensional cloud model, which processes two-dimensional grayscale histogram, and segments images using twodimensional cloud transformation and synthesis. The proposed method considers spatial information of images, and has good performance suppressing noise. Results of many experiments indicate that the proposed method obtains better effect than those of traditional methods, and it is feasible and effective.
Kun Qin Liang Luo Tao Wu Chui-qing Zeng
School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430072, China State key lab of software engineering, Wuhan University, Wuhan 430079, China Institute of Remote Sensing and Applications, Chinese Academy of Sciences, Beijing 10011, China
国际会议
上海
英文
791-796
2010-10-20(万方平台首次上网日期,不代表论文的发表时间)