Watershed Segmentation Based on Histogram Threshold and Lowest Mean Edge Value-Reference-Cited by-同舟云学术

Watershed Segmentation Based on Histogram Threshold and Lowest Mean Edge Value

Published:2013-09 Issue: Volume:411-414 Page:1222-1227
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Lin Qian¹,Mu Tian Long¹,Li Wei Feng²,Huang Xiu Lan¹

Affiliation:

1. Peking University

2. University of Hong Kong

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.411-414.1222.pdf

Reference12 articles.

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