Flotation bubble image segmentation based on seed region boundary growing |
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Authors: | Zhang Guoying Zhu Hong Xu Ning |
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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 |
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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. |
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Keywords: | Bubble image Segmentation Seed area Region growing |
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