An Object Detection Algorithm Based on the Cloud Model
Cloud model is an advanced theory for solving uncertainty problems. Taking the uncertainty of images into account, this paper proposes an object detection algorithm based on the cloud model. First, adopt cloud model theory to transform the images qualitative model to its quantitative model. Then, use climbing policy to get different level concepts which represent different level objects. At last, compute a certainty degree and determine which concept each pixel belongs to. Experimental results proved that the algorithm can have a better effect in accuracy of detecting objects and it is good at resolving the edges of different objects.
object detection cloud model uncertainty image processing
Yuyong Cui Zhiyuan Zeng Liu Liu
Digital Engineering and Simulation Research Center, Huazhong University of Science and Technology, Wuhan 430074, China
国际会议
三亚
英文
910-912
2009-04-24（万方平台首次上网日期，不代表论文的发表时间）