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

Authors:
Shen Pan;Mineichi Kudo
Affiliations:
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0814, Japan and Department of Information Management and Information Systems, Hefei University of Technolog ...;Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0814, Japan
Venue:
Computers and Electronics in Agriculture
Year:
2011

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Abstract

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.