Watershed Segmentation Based on Histogram Threshold and Lowest Mean Edge Value

Qian Lin; Tian Long Mu; Wei Feng Li; Xiu Lan Huang

doi:10.4028/www.scientific.net/AMM.411-414.1222

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Watershed Segmentation Based on Histogram...

Watershed Segmentation Based on Histogram Threshold and Lowest Mean Edge Value

Abstract:

A novel algorithm based on gradient image histogram threshold and lowest mean edge value is proposed. Image objects are initialized using the gradient image histogram threshold and grow up using the watershed segmentation algorithm. To reduce the number of image objects, a merge method based on lowest mean edge value is proposed. The segmentation result revealed the advantage of this method in preventing over-segmentation.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1222-1227

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1222

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Online since:

September 2013

Authors:

Qian Lin, Tian Long Mu, Wei Feng Li, Xiu Lan Huang

Keywords:

Histogram Threshold, Lowest Mean Edge Value, Watershed Segmentation

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