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木材漏节图片的计算机处理
引用本文:戚大伟,张杰.木材漏节图片的计算机处理[J].东北林业大学学报,1994,22(5):69-75.
作者姓名:戚大伟  张杰
作者单位:东北林业大学,黑龙江省森林工业总局
摘    要:应用计算机数字图象处理技术对木材加工业中的一种典型缺陷-漏节进行了处理,使其比原始图象更清晰,更易于识别。作者在论文中首次提出应用最大信息熵来决定二值化图象的阈值,取得了满意的结果。考虑到实际处理时的实时要求,应用改进后的罗泊特梯度算子来取漏的轮郭,使处理时间大大缩短。

关 键 词:漏节  图象处理  无损检测  木材

DIGITAL IMAGE PROCESSING OF WOOD KNOT HOLE PICTURE
Qi Dawei,Song Guoyu.DIGITAL IMAGE PROCESSING OF WOOD KNOT HOLE PICTURE[J].Journal of Northeast Forestry University,1994,22(5):69-75.
Authors:Qi Dawei  Song Guoyu
Institution:Qi Dawei;Song Guoyu(Northeast Forestry University)Zhang Jie(Heilongilang province Forest Industry Bureau)
Abstract:A reliable methodn on destructivex ray test of wood defects with computer digital image processing technique was presented in the paper which made the knot hole in wood clear and easily recogniged.It was the first time to use maximum entropy to determine the threshold of binary picture and the result was satisfying.The improved Robert was used in the paper to outline the knot-hole so that the processing was almost on real time.
Keywords:Knot-hole  Image processing  Non-destructive test  threshold  
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