|本期目录/Table of Contents|

[1]张怡卓,许雷 丁亮曹军.基于图像融合分割的实木地板表面缺陷检测方法[J].电机与控制学报,2014,18(07):113-118.
 ZHANG Yi-zhuo XU Lei DING Liang CAO Jun. Defects segmentation for wood floor based on image fusion method[J].,2014,18(07):113-118.
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基于图像融合分割的实木地板表面缺陷检测方法(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
18
期数:
2014年07
页码:
113-118
栏目:
出版日期:
2014-07-23

文章信息/Info

Title:
 Defects segmentation for wood floor based on image fusion method
作者:
 张怡卓 12许雷 1丁亮3曹军 1
 1东北林业大学 机电工程学院,黑龙江 哈尔滨150040; 2浙江大学 计算机科学与技术学院,浙江杭州310058
3东北林业大学 理学院,黑龙江 哈尔滨150040
Author(s):
 ZHANG Yi-zhuo 12XU Lei 1DING Liang 3CAO Jun 1
 1. College of Mechanical and Electrical Engineering, Northeast Forestry University,Harbin 150040,China;
2. College of Computer Science and Technology,Zhe jiang University,Hangzhou 310058,China;
3. College of Science, Northeast Forestry University,Harbin 150040,China
关键词:
 木地板缺陷检测图像融合小波变换禁忌搜索
Keywords:
 Key words:wood floor defect detectionimage fusionwavelet transformtaboo search
分类号:
TN 911. 73
DOI:
-
文献标志码:
A
摘要:
 摘要:针对实木地板表面缺陷检测速度慢、精确度低的问题,设计了实木地板视觉检测分选系统,并提出一种基于图像融合的区域生长分割方法。分割方法首先提取缺陷的R分量图像并进行图像缩小,在低维图像空间内运用区域生长方法完成缺陷的快速定位;利用梯度信息插值对缩小图像进行放大复原,并对缺陷进行标记生成参考图像;应用小波变换检索标记参考图像的边缘,以边缘像素点为种子在原图像进行禁忌快速搜索,实现缺陷区域的快速、精准分割。对20幅含有活节、死节、裂纹的样本图像进行了缺陷在线测试,平均分割时间为13. 21 ms,缺陷分割区域的准确率达到96.8%。
Abstract:
 Abstract:The surface defects and low of wood floor directly influence its quality and sorting levels. To solve the problem of slow
speed novel accuracy of defects segmentation methods,a fast visual sorting system was designed and extracted first segmenting method based on image fusion was proposed. R component image was
and scaling methods were applied to the image. Defects were rapidly located through region growing algorithms in low-dimensional space. Then gradient interpolation method was used to restore the
image,and defects were marked to generate the reference image. The wavelet transform was used to iden- tify the margin of the reference image. Finally,dual-threshold growth criterions and taboo table of rapidly located defects were set up to complete the taboo search from the margin of rapidly located region to the outside. The result of the experiment made on 20 sample images with sound knots,dead knots and cracks revealed that the average segmentation time of this method is 13. 21 ms,and the accuracy of defect segmentation is 96.8%

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备注/Memo

备注/Memo:
 基金项目:中央高校基本科研业务费专项基金(DL12EB04 -03,DL13CB02);黑龙江省留学归国基金(LC2011C24)
更新日期/Last Update: 2015-07-18