中南民族大学学报（自然科学版）2016，Vol.35Issue(3)：85-91,7.
基于分水岭模型的光照不均匀图像分割
Non-Uniform Illumination Image Segmentation Method Based on Watershed Model
摘要
Abstract
Aiming at the problem of uneven illumination in the process of image acquisition , in this paper,we firstly use the watershed model to divide image into different light regions , and then use the Sauvola algorithm to obtain the local binary threshold value adaptively , so as to achieve a good segmentation .Meanwhile we use Sauvola algorithm to calculate the local pixel value sum and the quadratic sum by using Integral Image to reduce the running time of the algorithm . Experimental results show that in the absence of human intervention , the algorithm can overcome the effects of light and image segmentation time complexity is greatly reduced .关键词
分水岭模型/光照不均匀/二值化/积分图像/猴王遗传算法Key words
watershed model/non-uniform illumination/binarisation threshold/Integral Image/Monkey King Genetic Algorithm分类
信息技术与安全科学引用本文复制引用
王宏文,宁乐,雷盼雲,郭章亮..基于分水岭模型的光照不均匀图像分割[J].中南民族大学学报（自然科学版）,2016,35(3):85-91,7.基金项目
天津市科技支撑项目 （）
