基于Graph Cuts的木材扫描电镜图像特征提取方法

doi:10.11707/j.1001-7488.20140416

Abstract

Abstract:

Generally, even the subtle differences of wood textures among different species can be clearly identified with their scanning electron microscope(SEM)micrographs. Therefore, the features extracted from the SEM micrographs can provide a reliable basis for the classification of wood micrographs. In this paper, a novel method of wood SEM micrographs was proposed for feature extraction based on Graph Cuts. Firstly, the wood SEM micrographs would be enhanced before partitioning the images into multiple segments by Graph Cuts, then extracting the contours of wood tissues and smoothing the contours of objects by mathematical morphology. Finally, nine kinds of geometric and statistical features and their computing methods were given. The experimental results on 12 wood species showed that the features we proposed had a great difference among the given wood species(also in the earlywood and latewood of each given species), which provided an important basis for the wood assortment recognition.

Key words: Graph Cuts, feature extraction, SEM, image segmentation, cell

CLC Number:

S781

Zhu Jia, Wang Hangjun. Feature Extraction Method of Wood SEM Micrographs Based on Graph Cuts[J]. Scientia Silvae Sinicae, 2014, 50(4): 108-114.

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Feature Extraction Method of Wood SEM Micrographs Based on Graph Cuts

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