A Multi—Scale Gradient Algorithm Based on Morpholkogical Operators
LUGuan-ming · 中国邮电高校学报：英文版 · 2000
Watershed transformation is a powerful morphological tool image segmentation.However,the performance of the image segmentation methods based on watershed transformation depends largely on the algorithm for computing the gradient of the image to be segmented.In this paper,we present a multi-scale gradient algorithm based on morphological openators for watershed-based image segmentation,with effective handling of both step and blurred edges.We also present an algorithm to eliminate the local minima produced by noise and quantization errors.Experimental results indicate that watershed transformation with the algorithms proposed in this paper produces meaningful segmentations ,even without a region-merging step.