自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 17    No. 5    October 2010

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Clustering-driven watershed adaptive segmentation of bubble image
ZHOU Kai-jun(周开军)1, 2, YANG Chun-hua(阳春华)1, GUI Wei-hua(桂卫华)1, XU Can-hui(许灿辉)1

1. School of Information Science and Engineering, Central South University, Changsha 410083, China;
2. School of Computer and Electronic Engineering, Hunan University of Commerce, Changsha 401201, China

Abstract:In order to extract froth morphological feature, a bubble image adaptive segmentation method was proposed. Considering the image’s low contrast and weak froth edges, froth image was coarsely segmented by using fuzzy c means (FCM) algorithm. Through the attributes of size and shape pattern spectrum, the optimal morphological structuring element was determined. According to the optimal parameters, some image noises were removed with an improved area opening and closing by reconstruction operation, which consist of image regional markers, and the bubbles were finely separated from each other by watershed transform. The experimental results show that the structural element can be determined adaptively by shape and size pattern spectrum, and the froth image is segmented accurately. Compared with other froth image segmentation method, the proposed method achieves much high accuracy, based on which, the bubble size and shape features are extracted effectively.

 

Key words: flotation; froth image; adaptive segmentation; pattern spectrum; morphological feature

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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