Image Segmentation of Wood with Knot Defects Based on Gray Transformation

Hong Bo Mu; Da Wei Qi; Ming Ming Zhang

doi:10.4028/www.scientific.net/AMM.71-78.1691

Paper Titles

Research on Foaming and Interface of the WPC Cushion Packaging Material
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Analysis on Vertical Pre-Stressing Diffusive Effect of PC Box Beam Web
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Finite Element Analysis on Load-Bearing Behavior of Concrete Filled Steel Tubular Composite Frames
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Viscous Dampers Installation Arrangement and Hysteresis Curve Characteristics Research on the Mega-Sub Controlled Structure System
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Image Segmentation of Wood with Knot Defects Based on Gray Transformation
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Splitting Strength of Hybrid Fiber Reinforced Concrete after Exposure to Elevated Temperatures
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Study on Failure Pressure of Corroded Submarine Pipeline under Earthquake
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Experiment of Beam Crack Repair Using Shape Memory Alloy
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Experimental Study on the Compression Performance of GFRP Bars under Different Corrosion Environment
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 71-78Image Segmentation of Wood with Knot Defects Based...

Image Segmentation of Wood with Knot Defects Based on Gray Transformation

Abstract:

Wood knot image obtained by X-ray was done gray transformation. The contrast of the image after gray transformation can be enhanced obviously and the position of knot can be highlighted. Binary processing was adopted for the image after gray transformation. The defects areas of the binary images are filled. Then, invert the best binary image of wood defect, and then adduct the obtained image. The result of wood defect image plus is that defects regions take apart completely with their background, which means the image segmentation is completed. Wood utilization is improved. The experiment results show that this method is feasible and effective.