A Kind of Watershed Image Segmentation Method Based on Combination Pre-Processing
The watershed algorithm has been widely used in image segmentation for its characteristics of accurately positioning edge, simple operation and etc. But it also has drawbacks of easy to over-segmentation and loss important outline for the character of sensitive to noise. Aiming at the problem of over-segmentation of watershed algorithm, the paper brought out an improved image segmentation algorithm based on watershed, which can limit the number of existing regions that are allowed with combination pre-processing steps, so that the over-segmentation problem can be better solved. The result of experiment also verifies the correctness and feasibility of the proposed algorithm in the paper.
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
J. X. Wang et al., "A Kind of Watershed Image Segmentation Method Based on Combination Pre-Processing", Advanced Materials Research, Vols. 121-122, pp. 320-324, 2010