彩色图像分割中基于粗糙集直方图的改进

把粗糙集应用于图像分割研究一直是一个热门话题,Milind M Mushrif、Ajoy K Ray等[1]结合Histon直方图,基于粗糙集理论,阐明了一种新的彩色图像分割算法。但是,其中R、G、B粗糙集直方图的相关性并没有得到克服,直接影响到了最终的分割效果。针对该弱点进行改进,经过大量的实验证明本文所进行的改进有以下优点:R、G、B粗糙集直方图的相关性明显降低;计算时间显著减少。

The Improvement of Rough-set Theory Histogram in Color-image Segmentation

It is a hot topic to use roughness set theory in color-image segmentation. One of the popular ways is proposed by Milind M Mushrif. Ajoy K Ray , with the point using traditional histogram and Histon construct roughness set histogram. However, there is still a problem, that is, the correlativity of R, G and B vector in roughness set histogram, which take an inactive effect in the process of color-image segmentation. Therefore, on the basis of further research, this paper shows an improved way proved through lots of experiments, with the result that it can reduce the correlativity of R, G and B vector in roughness set histogram and calculation time obviously.