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A Bubble Detection Algorithm Based on Sparse and Redundant Image Processing
TIAN Ye 1,ZHENG Change 2 *,KE Qiuhong 2
1.School of Technology, Beijing Forestry University, Beijing 100083
2.School of Technology, Beijing Forestry University, Beijing, 100083
*Correspondence author
#Submitted by
Funding: 国家自然基金(No.31200544), 高等学校博士学科点专项科研基金(No.20110014120012)
Opened online: 6 February 2013
Accepted by: none
Citation: TIAN Ye,ZHENG Change,KE Qiuhong.A Bubble Detection Algorithm Based on Sparse and Redundant Image Processing[OL]. [ 6 February 2013] http://en.paper.edu.cn/en_releasepaper/content/4514502
Deinked pulp flotation column has been applied in wastepaper recycling. Bubble size in deinked pulp flotation column is very important during the flotation process. In this paper, bubble images of deinked pulp flotation column were first caught by digital camera, and then the bubbles were detected by using a detection algorithm based on sparse and redundant image processing. The results show the algorithms are very practical and effective on bubble detection in deinked pulp flotation column.
Keywords:image processing; bubble detection; sparse and redundant

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