Object detection in Smoke Screen Interference Image Sequences Based on Fractal
In the paper, a new method for the detection of moving weak targets in smoke screen interference image sequences is proposed. Edges in infrared image add a deterministic element to surface height degrading locally the surface fractality and leading to an underestimation of the local fractal dimension (LFD). A different local fractal dimension will be determined at edges even if the two segments incident to the edge have the same LFD. The concept is evaluated by comparing row-mean subtraction filter based on fractal theory with conventional operators such as, median subtraction filter. Results show a similar performance in a low- noise environment and superiority of the fractal operators in a high noise, the algorithms are effectively for smoke screen interference and are easy to be implemented by parallel processing hardware
fractal row-mean subtraction filter smoke screen interference box dimension
YAN Xiaoke ZHENGJunjie SHI Caicheng
Unit 91404,PLA, QinHuangdao,Hebei,066000 Department of Electronic Engineering, Beij ing Institute of Technology, Beij ing china, 100081
国际会议
北京
英文
225-228
2011-11-27（万方平台首次上网日期，不代表论文的发表时间）