基于模糊聚类与二维阈值的图像分割

Image Segmentation Based on Fuzzy Clustering and Two Dimensional Thresholding

针对图像的二维阈值分割，采用了一种将快速二维阈值分割与模糊聚类相混合的方法，以进一步减少二维阈值分割中的噪声与错误分割．实验结果表明，利用这种方法分割信噪比较低的图象，能够在很短的时间内得到更为满意的分割结果．

Based on fuzzy clustering and fast two dimensional thresholding, a new approach for image segmentation is proposed and implemented. Experimental results show that by using this approach to segment image with low radio of signal to noise, one can obtain better segmentations in a very short time.