| 改进BSCB与样本块耦合的单板节子缺陷图像修补算法 |
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| 引用本文： | 王阿川,苍圣,曹军. 改进BSCB与样本块耦合的单板节子缺陷图像修补算法[J]. 东北林业大学学报, 2010, 38(12) |
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| 作者姓名： | 王阿川 苍圣 曹军 |
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| 作者单位： | 东北林业大学,哈尔滨,150040;东北林业大学,哈尔滨,150040;东北林业大学,哈尔滨,150040 |
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| 基金项目： | 东北林业大学硕士研究生科技创新项目(GTAM09)资助 |
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| 摘 要： | 分析了我国旋切单板生产过程中对单板节子缺陷挖补上存在的问题,提出了将图像修复理论、方法应用于单板节子表面缺陷图像的自动修补中,以提高旋切单板生产过程的自动挖孔补节智能化水平。针对BSCB算法在单板节子表面缺陷图像修复上存在的不足,提出了一种新的BSCB改进算法,使其在单板节子图像结构修复上得到比较好的效果。但是该算法对单板节子区域较大、节子周围纹理比较多的情况,修复效果不是很好。为此,又提出了将改进后的BSCB算法与基于样本块的图像修复算法相耦合的单板节子缺陷图像修复新方法,实现了对旋切单板节子缺陷图像的结构和纹理部分的修复,并通过数值实验验证了该方法的有效性。
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| 关 键 词： | PDE 单板节子缺陷 图像修复 BSCB改进算法 样本块 |
Algorithm for the Improved BSCB Model and Sample-based Block Coupling for Image Restoration of Knots in Veneer |
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| Wang Achuan,Cang Sheng,Cao Jun. Algorithm for the Improved BSCB Model and Sample-based Block Coupling for Image Restoration of Knots in Veneer[J]. Journal of Northeast Forestry University, 2010, 38(12) |
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| Authors: | Wang Achuan Cang Sheng Cao Jun |
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| Affiliation: | Wang Achuan,Cang Sheng,Cao Jun(School of Information & Computer Engineering,Northeast Forestry University,Harbin 150040,P.R.China) |
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| Abstract: | The existing problem in the defect restoration for peeling veneer was analysed in the production process in China.The theory and method of image restoration was applied to the automatic image restoration of surface defects in the veneer in order to raise the intelligent level of automatically digging a hole and patching a knot in peeling veneer.A new improved algorithm for image restoration of knots in the veneer was put forward aiming at the deficiency of BSCB model in image restoration.However,this algori... |
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| Keywords: | PDE knots in the veneer Image restoration Improved BSCB algorithm Sample-based block |
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