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

A Method of Obtaining Catchment Basins with Contour Lines for Foam Image Segmentation
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泡沫图像分割等高线获取集水盆地的方法

DOI:
10.32604/cmc.2019.06123
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发表时间:
2019
期刊:
Computers, Materials & Continua
影响因子:
--
通讯作者:
Hengfu Yang
Hengfu Yang
中科院分区:
其他
文献类型:
--
作者:
Yanpeng Wu;Xiaoqi Peng;Nur Mohammad;Hengfu Yang

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摘要:以分水岭算法为代表的泡沫图像分割广泛应用于气泡形态特征的提取。事实证明,H-最小值变换对于传统流域分割方法中的流域盆地定位是有效的。为了进一步提高流域分割的精度,引入了topbottom-cap滤波器方法和形态重构方法来标记流域盆地。本文专门提出了一种轮廓线方法来代替H-最小值变换,通过使用上下帽滤波器和较少的形态重建来获得泡沫图像分割的集水盆地。泡沫分割的实验结果表明,该方法比H-最小值加形态重建的方法同样准确但更有效,并且比H-最小值加上下帽滤波器的方法同样有效但更准确。
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 topbottom-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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