基于特征灰度和分水岭变换的甲藻横沟区域分割

Method of Pyrrophyta Cingulum Segmentation Based on Dominant Gray Levels and Watershed Transform

针对分水岭变换存在的过分割问题,提出了一种新的图像分割方法。该方法利用灰度包容球获取图像特征灰度集合,通过降低图像中灰度级数目减少无意义的局部极小值区域,对灰度重构后的梯度图像极小值区域采用自动阈值法进行标记并对标记加以质心、形状和面积约束,对修改后的梯度图像采用分水岭变换实现甲藻显微图像中横沟区域的分割。实验证明,该方法可比传统方法更合理地分割出横沟区域,有效抑制了过分割现象。

To tackle the over-segmentation problem in watershed algorithm,a method based on dominant gray levels and constraint marker watershed was proposed to extract cingulum region.In this algorithm,original image was reconstructed by dominant gray levels,eliminating local minima and noise disturber.Then markers of regional minima were extracted from gradient image by using auto-threshold,and imposed by shape,area and centroid constraints.The watershed transform of the maker-modified gradient image was performed to achieve the cingulum region segmentation.Simulation results show that the new scheduling algorithm has the benefits of less over-segmentation areas,the more accurate segmentation result and higher flexibility compared to the traditional algorithms.