Clustering-driven watershed adaptive segmentation of bubble image

来源期刊：中南大学学报(英文版)2010年第5期

论文作者：阳春华 周开军 桂卫华 许灿辉

文章页码：1049 - 1057

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

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.