基于相关性比较算法的均值漂移图像分割

Correlation comparison algorithm based mean shift for image segmentation

迭代过程中带宽的大小对算法的准确性和效率有很大的影响,它不但决定了参与迭代的采样点数量,而且还会影响算法的收敛速度和准确性,因此带宽的选择十分重要。采用相关性比较算法计算均值漂移算法中的带宽,然后将均值漂移算法用于图像分割。实验结果表明,新算法能够获得较好的图像分割效果和质量。

In the iterative process, size of bandwidth has great impact on the accuracy and efficiency of the algorithm. It not only decides the number of sampling points in the iteration, but also affects the convergence speed and accuracy of the algorithm. So, the choice of bandwidth is very important. This paper calculated bandwidth by using correlation comparison algorithm, and then used mean shift algorithm for image segmentation. Experimental results show that better image segmentation result can be obtained by using this new algorithm.