A Fast Self-Adaptive Algorithm for the Enhancement of Infrared Electric Image
The infrared electric images always have poor vision effects due to both the limitation in thermograph technology and surrounding interferences. Thus, the enhancement of such images is of great significance.A fast self-adaptive enhancement algorithm is presented on the basis of Bate function. In order to meet the real-time demand of online monitoring, a fast algorithm is put forward to complete the histogram transform by table-look-up operations, and thus the time-consuming repeats of integration of Beta function is avoided.Furthermore, PSO algorithm is combined with Chaos system, and then is employed to search the parameters of Beta function adaptively.The experimental results validate that the present method is effective and practical.
Fast self-adaptive algorithm image enhancement infrared electric image Chaos Particle Swarm Optimization (CPSO)
Songhai Fan Shuhong Yang Pu He Hongyu Nie
Sichuan Electric Power Research Institute,Chengdu 610072,China Guangxi University of Technology,Liuzhou,545006,China
国际会议
成都
英文
447-451
2011-09-27（万方平台首次上网日期，不代表论文的发表时间）