Target Segmentation in Complex Environment using Fractal Features

摘要：

By analysis of the Discrete Fractal Brownian Random Field model, an intelligent segmentation algorithm is proposed to process targets in complex environment. Firstly, to smooth the rough background texture, four-direction gradients are extracted out for filter which would obviously reduce singular values with variable gray intensity distribution. Secondly, a new fractal parameter, named Fractal Modulation Degree, is computed out to highlight immanent diversities of target and background. Then, passing through three-layer BP NN, multi-features are trained to obtain rational weight values and perform pattern recognition. Eventually, the contour of target is segmented out. Abundant experiments support the schemes satisfying validity and reliability.

关键词： Segmentation Fractal Smooth Multi-features BP NN.

作者: Ding Su Qiheng Zhang Shenghua Xie

作者单位: 863 Program Beam Control Laboratory, Institute of Optics and Electronics, CAS 350 P.O. Box, Chengdu. 610209, Sichuan Province, P. R. China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 79-83

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）