An Improved Watershed Segmentation Algorithm for Bridge Image

Abstract:

In order to solve the problem of over-segmentation of traditional watershed algorithm, an improved watershed segmentation algorithm of the bridge image was proposed in this paper. First, the input image was filtered by top-hat transformation and bottom-hat transformation, and then, a multiscale algorithm for computing morphological gradient images is proposed, and the threshold for marker-extraction is automatically calculated according to the statistics of local extreme points in the gradient map. The watershed algorithm is applied on the modified gradient map to segment the image. Then, the over-segmentation regions of the initial watershed segmentation is settled by region merging based on fisher distance.Region merging is ended according to divergence principle. Many contrast experimental results verified the feasibility and validity of the method.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3691-3694
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3691
• Online since: February 2014
• Authors: Qiang Qiang Li*, Wei Li
• Keywords: Morphological Filtering, Over-Segmentation, Watershed

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