For different kind of video images,this algorithm is compared with some classical algorithms in depth, such as Cannyedge detection and watershed segmentation etc. The experimental results show thatthe proposed algorithm is insensitive to tow contrast and illumination variation.
针对各种类型的视频图像,将该算法和Canny边缘检测、分水岭分割等经典的算法作了充分比较,实验结果证明该算法不易受对比度低和光照变化的影响,而且检测目标边缘不会产生双边,定位准确。
参考来源 - 视频分割和运动目标提取方法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
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