Segmentation of pores in wood microscopic images based on mathematical morphology with a variable structuring element

被引:20
作者
Pan, Shen [1 ,2 ]
Kudo, Mineichi
机构
[1] Hokkaido Univ, Grad Sch Informat Sci & Technol, Kita Ku, Sapporo, Hokkaido 0600814, Japan
[2] Hefei Univ Technol, Dept Informat Management & Informat Syst, Hefei 230009, Peoples R China
关键词
Pore segmentation; Wood microscopic image; Mathematical morphology; Structuring element; GREEN VEGETATION; COLOR;
D O I
10.1016/j.compag.2010.11.010
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
A set of pores is one of the key features in the process of wood identification. A novel method to segment pores in a wood microscopic image is proposed in this paper. The method has three steps. In the first step, structuring elements with several sizes are employed in a mathematical morphology algorithm to enhance the pores and remove other tissues in a wood microscopic image. Then the best structuring element size is determined according to the results obtained from the previous step. Finally, a binary image that includes only pores is obtained by an adaptive thresholding. Experimental results show the efficiency of the method. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:250 / 260
页数:11
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