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A Method of Obtaining Catchment Basins with Contour Lines for Foam Image Segmentation

Yanpeng Wu1, Xiaoqi Peng1,*, Mohammad Nur2, Hengfu Yang1

Department of Information Science and Engineering, Hunan First Normal University, Changsha, China.
Future Technologies Co., Ltd., Dhaka-1205, Bangladesh.

* Corresponding Author: Xiaoqi Peng. Email: email.

Computers, Materials & Continua 2019, 60(3), 1155-1170. https://doi.org/10.32604/cmc.2019.06123

Abstract

Foam image segmentation, represented by watershed algorithm, is wildly used in the extraction of bubble morphology features. H-minima transformation was proved to be effective in locating the catchment basins in the traditional watershed segmentation method. To further improve the accuracy of watershed segmentation, method of top-bottom-cap filters and method of morphological reconstruction were implied to marking the catchment basins. In this paper, instead of H-minima transformation, a method of contour lines is specially proposed to obtain the catchment basins for foam image segmentation by using top-bottom-cap filters and less morphological reconstruction. Experimental results in foam segmentation show that the proposed method is equally accurate but more efficient than the method of H-minima plus morphological reconstruction, and equally efficient but more accurate than the method of H-minima plus top-bottom-cap filters.

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Cite This Article

APA Style
Wu, Y., Peng, X., Nur, M., Yang, H. (2019). A method of obtaining catchment basins with contour lines for foam image segmentation. Computers, Materials & Continua, 60(3), 1155-1170. https://doi.org/10.32604/cmc.2019.06123
Vancouver Style
Wu Y, Peng X, Nur M, Yang H. A method of obtaining catchment basins with contour lines for foam image segmentation. Comput Mater Contin. 2019;60(3):1155-1170 https://doi.org/10.32604/cmc.2019.06123
IEEE Style
Y. Wu, X. Peng, M. Nur, and H. Yang, “A Method of Obtaining Catchment Basins with Contour Lines for Foam Image Segmentation,” Comput. Mater. Contin., vol. 60, no. 3, pp. 1155-1170, 2019. https://doi.org/10.32604/cmc.2019.06123

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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