Acta Optica Sinica, Volume. 38, Issue 3, 315004(2018)
Flotation Bubble Delineation Based on Shearlet Multiscale Boundary Detection and Fusion
Fig. 3. Three dimensional diagram of bubble images. (a) Original image; (b) low frequency subband image
Fig. 6. Bubble delineation steps and experimental results. (a) Bubble image; (b) low frequency subband image; (c) high frequency scale 1; (d) high frequency scale 2; (e) high frequency scale 3; (f) low frequency subband boundary; (g) modulus maximum for scale 1; (h) modulus maximum for scale 2; (i) modulus maximum for scale 3; (j) high frequency scale boundary; (k) traditional valley detection; (l) adaptive valley detection; (m) multiscale boundary fusion; (n) boundary refining; (o) final result
Fig. 7. Comparison of bubble delineation results of different methods. (a) Bubble image; (b) detection result of Sobel; (c) detection result of Canny; (d) detection result of Gauss Laplacian; (e) threshold segmentation result of iteration method; (f) OTSU result; (g) result of K neighbor clustering segmentation; (h) result of marked-based watershed segmentation; (i) detection result of adaptive valley; (j) result of proposed method
Fig. 8. (a) Different types of bubble images; (b) results of Ref. [9]; (c) results of Ref. [11]; (d) results of Ref. [12]; (e) results of proposed method
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Liao Yipeng, Wang Weixing. Flotation Bubble Delineation Based on Shearlet Multiscale Boundary Detection and Fusion[J]. Acta Optica Sinica, 2018, 38(3): 315004
Category: Machine Vision
Received: Aug. 21, 2017
Accepted: --
Published Online: Mar. 20, 2018
The Author Email: Yipeng Liao (fzu_lyp@163.com)