文件名称:henhaotuxiangfenge
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首先采用灰度投影匹配进行全局运动估计和补偿,用以消除背景变化的影响;然后由二次差分抽取中间帧解决遮挡问题,通过Fisher 评价函数结合数学形态学填充得到运动对象分割掩膜,同时消除残余噪声以及平滑边缘。该方法在一定范围内较好地解决了遮挡问题,并能够高效快速地得到比较精确的视频对象。-first used for overall projection matching motion estimation and compensation, in order to remove the impact of changes in background; then by the second difference from the middle fr a me settlement block, Fisher evaluation function by combining mathematical morphology be filled Moving Object segmentation mask, while eliminating residual noise and edge smoothing. The method in a certain range to help solve the problem of shelter, and to the rapid and efficient access to more precise video objects.
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灰度投影结合Fisher准则的对象分割.pdf