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Flotation bubble image segmentation based on seed region boundary growing
Authors:Zhang Guoying  Zhu Hong  Xu Ning
Affiliation:1. Department of Computer Science and Technology, China University of Mining & Technology, Beijing 100083, China
2. Beijing General Research Institute of Mine and Metallurgy, Beijing 100044, China
Abstract:Segmenting blurred and conglutinated bubbles in a flotation image is done using a new segmentation method based on Seed Region and Boundary Growing (SRBG). Bright pixels located on bubble tops were extracted as the seed regions. Seed boundaries are divided into four curves: left-top, right-top, rightbottom, and left-bottom. Bubbles are segmented from the seed boundary by moving these curves to the bubble boundaries along the corresponding directions. The SRBG method can remove noisy areas and it avoids over- and under-segmentation problems. Each bubble is segmented separately rather than segmenting the entire flotation image. The segmentation results from the SRBG method are more accurate than those from the Watershed algorithm.
Keywords:Bubble image  Segmentation  Seed area  Region growing
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