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《Journal of Northeast Forestry University》 2010-08
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Image Segmentation of Wood Defects Based on Space-frequency Transformation

Bai Xuebing,Wang Lin(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,P.R.China)  
Considering wood defects which are a type of natural texture things,a method based on space-frequency transformation was used to segment defect images to extract the defect parts of the wood for the analysis and identification afterwards.Three kinds of wood defects,worm-hole,dead knot and live knot,were separately selected in a sample of 50 images and filtered with a set of constructed multi-channel Gabor filters,and then the multi-directional Gabor energy features of the defect images were extracted.Finally,the defect images were segmented successfully by combining the fuzzy clustering algorithm with mathematical morphological post-processing operation.Experimental results showed that the average segmentation accuracy of the three types of wood defect images reached 95.81percent,94.58 percent and 96.52 percent respectively,and then the effectiveness of the method was demonstrated.
【Fund】: 黑龙江省自然科学基金项目(F200816);; 东北林业大学研究生科技创新资助项目
【CateGory Index】: TP391.41
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