基于局部优先的彩色图像分割算法

A Color Image Segmentation Algorithm Based on Local Priority

针对彩色图像分割聚类算法效果不理想以及计算复杂度较高的问题,提出了一种有效的彩色图像分割算法。该算法只对小区域进行处理操作,大大降低了计算复杂度,而且大大提高了图像分割的质量。与此同时,定义了名为局部优先级的变量,同时考虑了小区域的亮度和其他详细信息,减少由于只考虑像素点的亮度信息导致不恰当划分的可能性。实验结果表明,在真实彩色图像的分割结果中,该算法具有较好的图像分割效果。

In view of unfavorable clustering effect and high computational complexity for color image segmentation,a novel algorithm which can supply effective color image segmentation is proposed in this paper. The algorithm is only used for processing and operation of small regions,thus significantly improving the computational complexity and the quality of image segmentation. Meanwhile,the local priority is defined,considering the lightness and other detailed information of small regions in order to reduce the probability of generating some inappropriate partitioning when constructing the graph by using only the lightness information of pixels. The experimental results show that this algorithm has better image segmentation effect.