Application of grey histogram to wood surface defects' detection

YIN Jian-xin; LOU Xiong-wei; HUANG Mei-li

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Volume 25 Issue 3

Jun. 2018

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Article Navigation > Journal of Zhejiang A&F University > 2008 > 25(3): 272-276

YIN Jian-xin, LOU Xiong-wei, HUANG Mei-li. Application of grey histogram to wood surface defects' detection[J]. Journal of Zhejiang A&F University, 2008, 25(3): 272-276.

Citation:

YIN Jian-xin, LOU Xiong-wei, HUANG Mei-li. Application of grey histogram to wood surface defects' detection[J]. Journal of Zhejiang A&F University, 2008, 25(3): 272-276.

Application of grey histogram to wood surface defects' detection

1.
School of Information Science and Technology, Zhejiang Forestry College, Lin'an 311300, Zhejiang, China

Received Date: 2007-09-25
Rev Recd Date: 2007-12-17
Publish Date: 2008-06-10

Abstract

A method for the detection of defects in the wood surface by grey histogram, which was analyzed by 25 grades for every 4×4 block pixels, was studied in the research. It judged the existence of defects in the woods according to the color break in grey-histogram. Defect pictures had double peaks in the grey-histogram and usually the subordinate peak was the defect part. However, the influential factors including motley and texture were not considered during the first step. The subordinate peak and host peak values were compared to eliminate the disturbance caused by motley. The research findings showed that the subordinate peak value indicated defect color if it was 1/10 times greater than the value of the host peak. Meanwhile, the disturbance caused by texture could also be eliminated through histogram amendment.
- forest engineering,
- grey histogram,
- surface defect,
- wood detection

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Application of grey histogram to wood surface defects' detection

1. School of Information Science and Technology, Zhejiang Forestry College, Lin'an 311300, Zhejiang, China

Received Date: 2007-09-25
Rev Recd Date: 2007-12-17
Publish Date: 2008-06-10

Key words:

Abstract: A method for the detection of defects in the wood surface by grey histogram, which was analyzed by 25 grades for every 4×4 block pixels, was studied in the research. It judged the existence of defects in the woods according to the color break in grey-histogram. Defect pictures had double peaks in the grey-histogram and usually the subordinate peak was the defect part. However, the influential factors including motley and texture were not considered during the first step. The subordinate peak and host peak values were compared to eliminate the disturbance caused by motley. The research findings showed that the subordinate peak value indicated defect color if it was 1/10 times greater than the value of the host peak. Meanwhile, the disturbance caused by texture could also be eliminated through histogram amendment.

YIN Jian-xin, LOU Xiong-wei, HUANG Mei-li. Application of grey histogram to wood surface defects' detection[J]. Journal of Zhejiang A&F University, 2008, 25(3): 272-276.

Citation:

YIN Jian-xin, LOU Xiong-wei, HUANG Mei-li. Application of grey histogram to wood surface defects' detection[J]. Journal of Zhejiang A&F University, 2008, 25(3): 272-276.

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