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基于改进分水岭算法的粘连颗粒图像分割

戴丹

计算机技术与发展Issue(3):19-22,4.
计算机技术与发展Issue(3):19-22,4.DOI:10.3969/j.issn.1673-629X.2013.03.005

基于改进分水岭算法的粘连颗粒图像分割

Image Segmentation of Adhering Particle Based on Improved Watershed Algorithm

戴丹1

作者信息

  • 1. 贵州大学 计算机科学与信息学院,贵州 贵阳550025
  • 折叠

摘要

Abstract

During the segmentation of adhering particle in the experiments,traditional watershed algorithm has over-segmentation prob-lem. To solve the problem,an effective and improved watershed algorithm was proposed. Firstly,it used morphological reconstruction fil-tering to smooth the image,and then it used Otsu to do the image threshold segmentation and calculated the binary image’s Euclidean dis-tance. Finally,the final segmentation image was obtained by means of the watershed image segmentation. The results in the experiments show that the algorithm gets satisfactory segmentation effect and it is successful to solve the interference problems of adhering disk.

关键词

分水岭算法/图像分割/形态学重建/距离变换

Key words

watershed algorithm/image segmentation/morphology reconstruction/distance transformation

分类

信息技术与安全科学

引用本文复制引用

戴丹..基于改进分水岭算法的粘连颗粒图像分割[J].计算机技术与发展,2013,(3):19-22,4.

基金项目

贵州省自然科学基金(2011-2103) (2011-2103)

贵州大学自然科学青年基金(2009011) (2009011)

贵州大学青年基金(贵大自青合字2012014) (贵大自青合字2012014)

计算机技术与发展

OACSTPCD

1673-629X

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