Watershed Transform Based on Morphological Reconstruction
Zhiyong Jiang, Xiaoling Chen, Qianqing Qin · 2009
Watershed transform is the main tool of mathematical morphology used for image segmentation which can produce one-pixel wide and close edge. This method applied directly to gradient image causes severe over-segmentation. In this paper, the author presents a multi-scale watershed transform based on morphological scale-space by the analysis to the reasons of over-segmentation produced by watershed and the possible under-segmentation due to watershed-plus-marker. The method proposed here could be divided into three steps: (1) The alternate sequential filters (ASF) based on reconstruction are used to reduce some difference inside objects; (2) The closing by reconstruction be applied to gradient image in order to remove some local minima that does not correspond to the maximum and the minimum of the original image; (3) The processed gradient image is segmented using the watershed transform.