数字图像处理技术在木材科学中的应用
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摘要
综述了数字图像处理技术在木材缺陷检测、木材结构和木材美学三个方面的研究进展,分析了其中存在的不足。结果表明,数字图像处理技术可实现木材虫眼、节子和腐朽等缺陷的快速准确识别;木材结构的图像分析对于气候变化、木材长势及力学性能研究均有一定的参考价值;利用数字图像处理技术可以提取出木材独一无二的纹理图案。展望了数字图像处理技术在木材科学中的应用前景,以及其在木材缺陷自动检测、物种识别和美学研究等方面的商业价值。
The research progress of digital image processing technology in the three directions of wood defects detection,wood structure and wood aesthetics is reviewed,and the shortcomings involved are analyzed. The results show that the digital image processing technology can realize the rapid and accurate identification of defects such as insect holes,knots and decays. The analysis of wood structure images has some reference value for the research of climate change,wood growth and mechanical properties. The use of digital image processing technology can extract unique wood texture patterns. Finally,the application prospects of digital image processing technology in wood science are expounded,which can create great commercial value in the fields of automatic detection of wood defects,species identification and aesthetic research.
The research progress of digital image processing technology in the three directions of wood defects detection,wood structure and wood aesthetics is reviewed,and the shortcomings involved are analyzed. The results show that the digital image processing technology can realize the rapid and accurate identification of defects such as insect holes,knots and decays. The analysis of wood structure images has some reference value for the research of climate change,wood growth and mechanical properties. The use of digital image processing technology can extract unique wood texture patterns. Finally,the application prospects of digital image processing technology in wood science are expounded,which can create great commercial value in the fields of automatic detection of wood defects,species identification and aesthetic research.
引文
[1]周旭,常建民.数字图像处理技术用于木材微观分析的研究概况[J].森林工程,2008,24(1):28-33.
[2]梁海平.基于机器视觉的木材表面缺陷的在线检测技术研究[D].秦皇岛:燕山大学,2008.
[3]吴东洋,业宁,徐波,等.基于Otsu算法的木材缺陷图像分割[J]计算机与数字工程,2012,40(10):116-118.
[4]戴天虹,吴以.基于OTSU算法与数学形态学的木材缺陷图像分割[J].森林工程,2014,30(2):52-55.
[5]王克奇,马晓明,白雪冰.基于分形理论和数学形态学的木材表面缺陷识别的图像处理[J].森林工程,2013,29(2):48-50.
[6]白雪冰,许景涛,宋恩来,等.3种不同模型对木材表面缺陷图像分割算法的比较[J].西部林业科学,2016,45(4):27-34..
[7]戚大伟,牟洪波.基于Hu不变矩和BP神经网络的木材缺陷检测[C]//中国智能自动化学术会议论文集,2013:63-66.
[8]Mu H,Zhang M,Qi D,et al.The Application of RBF Neural Network in the Wood Defect Detection[C]//National Conference on Digital Government Research,2015:98-102.
[9]李坚.木材科学[M].哈尔滨:东北林业大学出版社,1994.
[10]Silvén O,Niskanen M,Kauppinen H.Wood inspection with nonsupervised clustering.[J].Machine Vision and Applications,2003,13(5):275-285.
[11]吴东洋,业宁,沈丽容,等.基于颜色矩的木材缺陷聚类识别[J].江南大学学报:自然科学版,2009,8(5):520-524.
[12]戴天虹,王玉珏,赵贝贝.基于HSI三分量独立性木材缺陷图像分割[J].机电产品开发与创新,2009,22(6):110-112.
[13]王阿川,曹军,于琳瑛,等.改进C-V模型的木材缺陷彩色图像分割研究[J].计算机工程与应用,2012,48(5):164-167.
[14]谢永华,赵丽花,王金聪.基于颜色和数学形态学的木材缺陷检测研究[J].现代科学仪器,2013(2):75-77.
[15]白雪冰,许景涛,郭景秋,等.基于改进C-V模型的木材表面缺陷图像分割[J].北京林业大学学报,2015,37(12):108-115.
[16]白雪冰,王克奇,王辉.基于灰度共生矩阵的木材纹理分类方法的研究[J].哈尔滨工业大学学报,2005,37(12):1667-1670.
[17]杨新华,赵娟娟.基于多阈值分析法的树木年轮特征识别方法研究[J].江苏农业科学,2012,40(8):178-180.
[18]陈峰,袁玉江,魏文寿,等.利用树轮图像灰度重建南天山北坡西部初夏温度序列[J].中国沙漠,2008,28(5):842-847.
[19]喻树龙,袁玉江,魏文寿,等.用于气候分析的树轮宽度资料获取技术方法与质量控制[J].沙漠与绿洲气象,2012,6(1):49
[20]Sarén M P,Serimaa R,Andersson S,et al.Structural variation of tracheids in Norway spruce[J].Journal of Structural Biology,2001,136(2):101-109.
[21]张海波,张冬妍,刁宏志.木材年轮间细胞的计算机三维仿真初探[J].森林工程,2005,21(3):11-14.
[22]王立昌.基于轮廓跟踪算法的木材显微图像数字处理系统[C].2006年全国博士生学术论坛论文集(下),第三部分林业工程分论坛,木材科学与技术,2006.
[23]赵荣军,费本华,张波.杨树木材细胞腔径分布的分形表征[J].南京林业大学学报:自然科学版,2008,32(1):133-135.
[24]元传斌.基于特征参数的树木细胞形状计算机仿真研究[D].哈尔滨:东北林业大学,2008.
[25]任洪娥,赵磊,董本志,等.基于数学模拟理论的板材树种识别方法及实现[J].计算机工程与应用,2010,46(9):238-240.
[26]Mallik A,Tarrío-Saavedra J,Francisco-Fernández M,et al.Classification of wood micrographs by image segmentation[J].Chemometrics&Intelligent Laboratory Systems,2011,107(2):351-362.
[27]夏萍,刘盛全,周亮,等.X射线图像法测定木材生长轮密度[J].林业科学,2007,43(7):61-66.
[28]葛利,陈广胜.基于过程神经网络的木材生长轮密度预测[J].林业科学,2008,44(1):124-127.
[29]冯伟.神经网络在木材生长轮密度预测中的应用研究[J].计算机仿真,2012(6):180-183.
[30]Guardiolaalbert,C.,Ballesteroscánovas,J.A.,Stoffel,M.,et al.How to improve dendrogeomorphic sampling:variogram analyses of wood density using x-ray computed tomography[Z].Tree-Ring Research,2015.
[31]Ballesteros-Cánovas J A,Stoffel M,Guardiola-Albert C.XRCT images and variograms reveal 3D changes in wood density of riparian trees affected by floods[J].Trees,2015,29(4):1115-1126.
[32]Jernkvist L O,Thuvander F.Experimental Determination of Stiffness Variation Across Growth Rings in Picea abies[J].Holzforschung,2005,55(55):309-317.
[33]巩翠芝,刘一星,王强,等.鱼鳞云杉微切片拉伸破坏的细观试验与应变场分析[J].林业科学,2008,44(3):166-169.
[34]李霞镇,任海青,马少鹏.基于数字散斑相关方法的竹材变形特性[J].林业科学,2012,48(9):115-119.
[35]Peng M,Ho Y C,Wang W C,et al.Measurement of wood shrinkage in jack pine using three dimensional digital image correlation(DIC)[J].Holzforschung,2012,66(5):639-643.
[36]Larsen F,Ormarsson S.Numerical and experimental study of moisture-induced stress and strain field developments in timber logs[J].Wood Science and Technology,2013,47(4):837-852.
[37]吕九芳,吴智慧,廖晓梅.木材花纹美学图案的设计及其应用研究[J].家具与室内装饰,2011(10):106-107.
[38]廖晓梅.木材美学图案的创作及其在室内装饰设计中的应用[J].大众文艺:学术版,2012(20):52-53.
[39]徐丽,李大纲,徐长妍,等.木材纹理图案的美学研究[J].木工机床,2012(1):20-24.
[40]吕金阳,覃卓凯,舒辉,等.银杉木材构造美学价值[J].西北林学院学报,2013,28(1):183-187.
[41]郑义海,罗建举.基于分形几何的木材超微构造美学图案设计与应用[J].福建林学院学报,2014(2):189-192.
[2]梁海平.基于机器视觉的木材表面缺陷的在线检测技术研究[D].秦皇岛:燕山大学,2008.
[3]吴东洋,业宁,徐波,等.基于Otsu算法的木材缺陷图像分割[J]计算机与数字工程,2012,40(10):116-118.
[4]戴天虹,吴以.基于OTSU算法与数学形态学的木材缺陷图像分割[J].森林工程,2014,30(2):52-55.
[5]王克奇,马晓明,白雪冰.基于分形理论和数学形态学的木材表面缺陷识别的图像处理[J].森林工程,2013,29(2):48-50.
[6]白雪冰,许景涛,宋恩来,等.3种不同模型对木材表面缺陷图像分割算法的比较[J].西部林业科学,2016,45(4):27-34..
[7]戚大伟,牟洪波.基于Hu不变矩和BP神经网络的木材缺陷检测[C]//中国智能自动化学术会议论文集,2013:63-66.
[8]Mu H,Zhang M,Qi D,et al.The Application of RBF Neural Network in the Wood Defect Detection[C]//National Conference on Digital Government Research,2015:98-102.
[9]李坚.木材科学[M].哈尔滨:东北林业大学出版社,1994.
[10]Silvén O,Niskanen M,Kauppinen H.Wood inspection with nonsupervised clustering.[J].Machine Vision and Applications,2003,13(5):275-285.
[11]吴东洋,业宁,沈丽容,等.基于颜色矩的木材缺陷聚类识别[J].江南大学学报:自然科学版,2009,8(5):520-524.
[12]戴天虹,王玉珏,赵贝贝.基于HSI三分量独立性木材缺陷图像分割[J].机电产品开发与创新,2009,22(6):110-112.
[13]王阿川,曹军,于琳瑛,等.改进C-V模型的木材缺陷彩色图像分割研究[J].计算机工程与应用,2012,48(5):164-167.
[14]谢永华,赵丽花,王金聪.基于颜色和数学形态学的木材缺陷检测研究[J].现代科学仪器,2013(2):75-77.
[15]白雪冰,许景涛,郭景秋,等.基于改进C-V模型的木材表面缺陷图像分割[J].北京林业大学学报,2015,37(12):108-115.
[16]白雪冰,王克奇,王辉.基于灰度共生矩阵的木材纹理分类方法的研究[J].哈尔滨工业大学学报,2005,37(12):1667-1670.
[17]杨新华,赵娟娟.基于多阈值分析法的树木年轮特征识别方法研究[J].江苏农业科学,2012,40(8):178-180.
[18]陈峰,袁玉江,魏文寿,等.利用树轮图像灰度重建南天山北坡西部初夏温度序列[J].中国沙漠,2008,28(5):842-847.
[19]喻树龙,袁玉江,魏文寿,等.用于气候分析的树轮宽度资料获取技术方法与质量控制[J].沙漠与绿洲气象,2012,6(1):49
[20]Sarén M P,Serimaa R,Andersson S,et al.Structural variation of tracheids in Norway spruce[J].Journal of Structural Biology,2001,136(2):101-109.
[21]张海波,张冬妍,刁宏志.木材年轮间细胞的计算机三维仿真初探[J].森林工程,2005,21(3):11-14.
[22]王立昌.基于轮廓跟踪算法的木材显微图像数字处理系统[C].2006年全国博士生学术论坛论文集(下),第三部分林业工程分论坛,木材科学与技术,2006.
[23]赵荣军,费本华,张波.杨树木材细胞腔径分布的分形表征[J].南京林业大学学报:自然科学版,2008,32(1):133-135.
[24]元传斌.基于特征参数的树木细胞形状计算机仿真研究[D].哈尔滨:东北林业大学,2008.
[25]任洪娥,赵磊,董本志,等.基于数学模拟理论的板材树种识别方法及实现[J].计算机工程与应用,2010,46(9):238-240.
[26]Mallik A,Tarrío-Saavedra J,Francisco-Fernández M,et al.Classification of wood micrographs by image segmentation[J].Chemometrics&Intelligent Laboratory Systems,2011,107(2):351-362.
[27]夏萍,刘盛全,周亮,等.X射线图像法测定木材生长轮密度[J].林业科学,2007,43(7):61-66.
[28]葛利,陈广胜.基于过程神经网络的木材生长轮密度预测[J].林业科学,2008,44(1):124-127.
[29]冯伟.神经网络在木材生长轮密度预测中的应用研究[J].计算机仿真,2012(6):180-183.
[30]Guardiolaalbert,C.,Ballesteroscánovas,J.A.,Stoffel,M.,et al.How to improve dendrogeomorphic sampling:variogram analyses of wood density using x-ray computed tomography[Z].Tree-Ring Research,2015.
[31]Ballesteros-Cánovas J A,Stoffel M,Guardiola-Albert C.XRCT images and variograms reveal 3D changes in wood density of riparian trees affected by floods[J].Trees,2015,29(4):1115-1126.
[32]Jernkvist L O,Thuvander F.Experimental Determination of Stiffness Variation Across Growth Rings in Picea abies[J].Holzforschung,2005,55(55):309-317.
[33]巩翠芝,刘一星,王强,等.鱼鳞云杉微切片拉伸破坏的细观试验与应变场分析[J].林业科学,2008,44(3):166-169.
[34]李霞镇,任海青,马少鹏.基于数字散斑相关方法的竹材变形特性[J].林业科学,2012,48(9):115-119.
[35]Peng M,Ho Y C,Wang W C,et al.Measurement of wood shrinkage in jack pine using three dimensional digital image correlation(DIC)[J].Holzforschung,2012,66(5):639-643.
[36]Larsen F,Ormarsson S.Numerical and experimental study of moisture-induced stress and strain field developments in timber logs[J].Wood Science and Technology,2013,47(4):837-852.
[37]吕九芳,吴智慧,廖晓梅.木材花纹美学图案的设计及其应用研究[J].家具与室内装饰,2011(10):106-107.
[38]廖晓梅.木材美学图案的创作及其在室内装饰设计中的应用[J].大众文艺:学术版,2012(20):52-53.
[39]徐丽,李大纲,徐长妍,等.木材纹理图案的美学研究[J].木工机床,2012(1):20-24.
[40]吕金阳,覃卓凯,舒辉,等.银杉木材构造美学价值[J].西北林学院学报,2013,28(1):183-187.
[41]郑义海,罗建举.基于分形几何的木材超微构造美学图案设计与应用[J].福建林学院学报,2014(2):189-192.