图像处理技术在竹木复合材料性能评估中的应用展望
|
摘要
从灰度共生矩阵、马尔可夫随机场、傅里叶变换、Gabor变换、小波变换、Contourlet变换方面回顾了图像处理技术在木质材料研究中的研究现状。结合目前企业采用传统的检测方法对竹木复合材料进行力学性能检测,既耗时长还会破坏材料增加成本现状,指出竹木复合材料性能检测的必要性以及图像处理技术的优势,提出将图像处理技术运用在竹木复合材料的无损检测上的研究思路。
From the aspects of gray level co-occurrence matrix,Fourier transform,Gabor transform,wavelet transform,contourlet transform,current researches and development of image processing technology used in the study of wood materials were reviewed.Nowadays,enterprises often use destructive testing technology to detect the mechanical properties of bamboo-wood composite materials and this way not only is time consuming but also would destroy the material to increase costs.The necessity of bamboo-wood composite material performance testing and the advantage of image processing technology were put forward.Finally,the paper advanced a new research thinking that image processing technology could be applied to nondestructive testing for bamboo-wood composite materials.
From the aspects of gray level co-occurrence matrix,Fourier transform,Gabor transform,wavelet transform,contourlet transform,current researches and development of image processing technology used in the study of wood materials were reviewed.Nowadays,enterprises often use destructive testing technology to detect the mechanical properties of bamboo-wood composite materials and this way not only is time consuming but also would destroy the material to increase costs.The necessity of bamboo-wood composite material performance testing and the advantage of image processing technology were put forward.Finally,the paper advanced a new research thinking that image processing technology could be applied to nondestructive testing for bamboo-wood composite materials.
引文
[1]江泽慧,王戈,费本华,等.竹木复合材料的研究及发展[J].林业科学研究,2002,15(6):712-718.
[2]高燕秋,王兆伍,孙丰文.竹木复合集装箱底板弹性模量的无损检测[J].南京林业大学学报,2001,25(6):69-72.GAO Y J,WANG Z W,SUN F W.Nondistructive testing for MOE of the bamboo wood composite container floorings[J].Journal of Nanjing Forestry University,2001,25(6):69-72.(in Chinese)
[3]孙丰文.竹木复合集装箱底板静曲强度的预测模型[J].南京林业大学学报,2006,30(5):10-14.SUN F W.Predicting models of MOR for bamboo wood composite container flooring[J].Journal of Nanjing Forestry University,2006,30(5):10-14.(in Chinese)
[4]李健,焦志勇.计算机图像处理技术在现实生活中的应用[J].电子技术与软件工程,2018(1):152.
[5]于海鹏,刘一星,张斌,等.应用空间灰度共生矩阵定量分析木材表面纹理特征[J].林业科学,2004,40(6):121-129.YU H P,LIU Y X,ZHANG B,et al.Application of spatial gray level cooccurrence matrix in wood surface texture quantitative analysis[J].Scientia Silvae Sinicae,2004,40(6):121-129.(in Chinese)
[6]高程程,惠晓威.基于灰度共生矩阵的纹理特征提取[J].计算机系统应用,2005,19(6):195-198.
[7]戴维,戴丹.基于改进模拟退火算法的木材类型识别方法[J].湖南文理学院学报:自然科学版,2017,29(4):27-30.DAI W,DAI D.Feature selection method based on improved simulated annealing algorithm[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2017,29(4):27-30.(in Chinese)
[8]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.BAI X B,WANG K Q,WANG H.Research on the classification of wood texture based on gray level cooccurrence matrix[J].Journal of Harbin Institute of Technology,2005,37(12):1667-1670.(in Chinese)
[9]吴东洋,业宁,苏小青.基于灰度共生矩阵和聚类方法的木材缺陷识别[J].计算机与数字工程,2010,38(11):38-41.
[10]KOBAYASHI K,AKADA M,TORIGOE T,et al.Automated recognition of wood used in traditional Japanese sculptures by texture analysis of their low-resolution computed tomography data[J].Journal of Wood Science,2015,61(6):630-640.
[11]ALBREGTSEN F.Statistical texture measures computed from gray level coocurrencematrices[J].Image,2008:1-14.
[12]王克奇,石岭,白雪冰,等.基于吉布斯-马尔可夫随机场的板材表面纹理分析[J].东北林业大学学报,2006,34(4):8-9.WANG K Q,SHI L,BAI X B,et al.Analysis of wood surface texture based on Gibbs-MRF[J].Journal of Northeast of Forestry University,2006,34(4):8-9.(in Chinese)
[13]石岭.基于马尔可夫随机场的木材表面纹理分类方法的研究[D].哈尔滨:东北林业大学,2006.
[14]王再尚.基于Markov随机场的木材表面缺陷模式识别方法的研究[D].哈尔滨:东北林业大学,2012.
[15]王克奇,石岭,白雪冰,等.基于高斯-马尔可夫随机场的板材表面纹理分析[J].林业科技,2005,30(6):46-48.
[16]方益明,郑红平,冯海林.基于傅里叶变换和独立成分分析的木材显微图像特征提取与识别[J].浙江林学院学报,2010,27(6):826-830.
[17]王金满,曲艳杰,李坚.傅立叶变换图像处理方法在木材解剖特征研究上的应用[J].四川农业大学学报,1998,16(1):176-180.WANG J M,QU Y J,LI J.Analysis of wood anatomy characteristics by fast fourier transfer image analysis[J].Journal of Sichuan Agriculture University,1998,16(1):176-180.(in Chinese)
[18]多化琼,王喜明.利用傅里叶变换研究阔叶材纤维细胞尺寸[J].光谱学与光谱分析,2009,29(9):2379-2382.
[19]多化琼,王喜明.利用傅立叶变换研究阔叶材纤维细胞排列[J].西北林学院学报,2009,24(2):121-123.DUO H Q,WANG X M.Analysis of cell arrangements in hardwood by fourier transform[J].Journal of Northwest Forestry University,2009,24(2):121-123.(in Chinese)
[20]多化琼,王喜明,王悦东.利用傅立叶变换研究闽楠木材纤维细胞尺寸[J].西北林学院学报,2009,24(3):159-162.
[21]杨旭.木材加工自动化中的板材缺陷检测技术研究[D].南京:南京林业大学,2016.
[22]孙洪飞.基于小波变换的图像特征提取方法研究[D].南京:南京邮电大学,2015.
[23]王林.基于Gabor变换的木材表面缺陷识别方法的研究[D].哈尔滨:东北林业大学,2010.
[24]马琳.基于特征融合的木材纹理分类研究[D].哈尔滨:东北林业大学,2013.
[25]张怡卓,马琳,王铁滨,等.小波变换的木材纹理在线分选[J].林业科技,2012,37(6):21-24.
[26]于海鹏,刘一星,孙建平.基于小波的木材纹理分频信息提取与分析[J].林业科学,2005,41(2):100-105.YU H P,LIU Y X,SUN J P.Separated frequency features extraction and analysis of wood texture based on wavelet[J].Scientia Silvae Sinicae,2005,41(2):100-105.(in Chinese)
[27]杨福刚,孙同景,庞清乐,等.基于SVM和小波的木材纹理分类算法[J].仪器仪表学报,2006,27(6):2250-2252.
[28]王亚超.基于小波变换的木材图像处理技术研究[D].呼和浩特:内蒙古农业大学,2013.
[29]高峰,多化琼,王亚超.基于5/3小波变换的木材纹理频域特征研究[J].内蒙古农业大学学报,2013,34(3):155-158.GANG F,DUO H Q,WANG Y C.Wood texture frequencydomain characterization research based on integer 5/3wavelet[J].Journal of Inner Mongolia Agricultural University,2013,34(3):155-158.(in Chinese)
[30]王亚超,薛河儒,多化琼.基于9/7小波变换的木材纹理频域特征研究[J].西北林学院学报,2012,27(1):225-228.WANG Y C,XUE H R,DUO H Q.Frequency feature extraction and analysis of wood texture based on the 9/7 wavelet transforms[J].Journal of Northwest Forestry University,2012,27(1):225-228.(in Chinese)
[31]孙建平,王逢瑚,于海鹏.小波分析与人工神经网络在木质材料无损检测中的应用[J].木材工业,2004,18(5):24-33.
[32]王克奇,白雪冰,王辉.基于小波变换的木材表面纹理分类[J].哈尔滨工业大学学报,2009,41(9):232-234.WANG K Q,BAI X B,WANG H.Classification of wood surface texture based on wavelets transform[J].Journal of Harbin Institute of Technology,2009,41(9):232-234.(in Chinese)
[33]多化豫,孙枭雄,袁云梅.基于图像处理提高木材识别准确性的新方法[J].西北林学院学报,2017,32(1):244-247.DUO H Y,SUN X X,YUAN Y M.Improvement of wood identification accuracy based on image processing[J].Journal of Northwest Forestry University,2017,32(1):244-247.(in Chinese)
[34]DO M N,VETTERLI M.The contourlet transform:an eficientdirectioal multiresolution image representation[J].IEEETransaction Image on Processing,2005,14(12):2091-2106.
[35]任洪娥,王海丰,赵鹏.新的木材显微细胞图像分类识别方法[J].计算机工程与应用,2009,45(28):246-248.
[36]李超,吕宪伟,涂文俊,等.基于计算机视觉的实木表面智能化分选系统设计[J].北京林业大学学报,2016,38(3):102-109.LI C,LU X W,TU W J,et al.Design of an intelligent wood surface grading system based on computer vision[J].Journal of Beijing Forestry University,2016,38(3):102-109.(in Chinese)
[2]高燕秋,王兆伍,孙丰文.竹木复合集装箱底板弹性模量的无损检测[J].南京林业大学学报,2001,25(6):69-72.GAO Y J,WANG Z W,SUN F W.Nondistructive testing for MOE of the bamboo wood composite container floorings[J].Journal of Nanjing Forestry University,2001,25(6):69-72.(in Chinese)
[3]孙丰文.竹木复合集装箱底板静曲强度的预测模型[J].南京林业大学学报,2006,30(5):10-14.SUN F W.Predicting models of MOR for bamboo wood composite container flooring[J].Journal of Nanjing Forestry University,2006,30(5):10-14.(in Chinese)
[4]李健,焦志勇.计算机图像处理技术在现实生活中的应用[J].电子技术与软件工程,2018(1):152.
[5]于海鹏,刘一星,张斌,等.应用空间灰度共生矩阵定量分析木材表面纹理特征[J].林业科学,2004,40(6):121-129.YU H P,LIU Y X,ZHANG B,et al.Application of spatial gray level cooccurrence matrix in wood surface texture quantitative analysis[J].Scientia Silvae Sinicae,2004,40(6):121-129.(in Chinese)
[6]高程程,惠晓威.基于灰度共生矩阵的纹理特征提取[J].计算机系统应用,2005,19(6):195-198.
[7]戴维,戴丹.基于改进模拟退火算法的木材类型识别方法[J].湖南文理学院学报:自然科学版,2017,29(4):27-30.DAI W,DAI D.Feature selection method based on improved simulated annealing algorithm[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2017,29(4):27-30.(in Chinese)
[8]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.BAI X B,WANG K Q,WANG H.Research on the classification of wood texture based on gray level cooccurrence matrix[J].Journal of Harbin Institute of Technology,2005,37(12):1667-1670.(in Chinese)
[9]吴东洋,业宁,苏小青.基于灰度共生矩阵和聚类方法的木材缺陷识别[J].计算机与数字工程,2010,38(11):38-41.
[10]KOBAYASHI K,AKADA M,TORIGOE T,et al.Automated recognition of wood used in traditional Japanese sculptures by texture analysis of their low-resolution computed tomography data[J].Journal of Wood Science,2015,61(6):630-640.
[11]ALBREGTSEN F.Statistical texture measures computed from gray level coocurrencematrices[J].Image,2008:1-14.
[12]王克奇,石岭,白雪冰,等.基于吉布斯-马尔可夫随机场的板材表面纹理分析[J].东北林业大学学报,2006,34(4):8-9.WANG K Q,SHI L,BAI X B,et al.Analysis of wood surface texture based on Gibbs-MRF[J].Journal of Northeast of Forestry University,2006,34(4):8-9.(in Chinese)
[13]石岭.基于马尔可夫随机场的木材表面纹理分类方法的研究[D].哈尔滨:东北林业大学,2006.
[14]王再尚.基于Markov随机场的木材表面缺陷模式识别方法的研究[D].哈尔滨:东北林业大学,2012.
[15]王克奇,石岭,白雪冰,等.基于高斯-马尔可夫随机场的板材表面纹理分析[J].林业科技,2005,30(6):46-48.
[16]方益明,郑红平,冯海林.基于傅里叶变换和独立成分分析的木材显微图像特征提取与识别[J].浙江林学院学报,2010,27(6):826-830.
[17]王金满,曲艳杰,李坚.傅立叶变换图像处理方法在木材解剖特征研究上的应用[J].四川农业大学学报,1998,16(1):176-180.WANG J M,QU Y J,LI J.Analysis of wood anatomy characteristics by fast fourier transfer image analysis[J].Journal of Sichuan Agriculture University,1998,16(1):176-180.(in Chinese)
[18]多化琼,王喜明.利用傅里叶变换研究阔叶材纤维细胞尺寸[J].光谱学与光谱分析,2009,29(9):2379-2382.
[19]多化琼,王喜明.利用傅立叶变换研究阔叶材纤维细胞排列[J].西北林学院学报,2009,24(2):121-123.DUO H Q,WANG X M.Analysis of cell arrangements in hardwood by fourier transform[J].Journal of Northwest Forestry University,2009,24(2):121-123.(in Chinese)
[20]多化琼,王喜明,王悦东.利用傅立叶变换研究闽楠木材纤维细胞尺寸[J].西北林学院学报,2009,24(3):159-162.
[21]杨旭.木材加工自动化中的板材缺陷检测技术研究[D].南京:南京林业大学,2016.
[22]孙洪飞.基于小波变换的图像特征提取方法研究[D].南京:南京邮电大学,2015.
[23]王林.基于Gabor变换的木材表面缺陷识别方法的研究[D].哈尔滨:东北林业大学,2010.
[24]马琳.基于特征融合的木材纹理分类研究[D].哈尔滨:东北林业大学,2013.
[25]张怡卓,马琳,王铁滨,等.小波变换的木材纹理在线分选[J].林业科技,2012,37(6):21-24.
[26]于海鹏,刘一星,孙建平.基于小波的木材纹理分频信息提取与分析[J].林业科学,2005,41(2):100-105.YU H P,LIU Y X,SUN J P.Separated frequency features extraction and analysis of wood texture based on wavelet[J].Scientia Silvae Sinicae,2005,41(2):100-105.(in Chinese)
[27]杨福刚,孙同景,庞清乐,等.基于SVM和小波的木材纹理分类算法[J].仪器仪表学报,2006,27(6):2250-2252.
[28]王亚超.基于小波变换的木材图像处理技术研究[D].呼和浩特:内蒙古农业大学,2013.
[29]高峰,多化琼,王亚超.基于5/3小波变换的木材纹理频域特征研究[J].内蒙古农业大学学报,2013,34(3):155-158.GANG F,DUO H Q,WANG Y C.Wood texture frequencydomain characterization research based on integer 5/3wavelet[J].Journal of Inner Mongolia Agricultural University,2013,34(3):155-158.(in Chinese)
[30]王亚超,薛河儒,多化琼.基于9/7小波变换的木材纹理频域特征研究[J].西北林学院学报,2012,27(1):225-228.WANG Y C,XUE H R,DUO H Q.Frequency feature extraction and analysis of wood texture based on the 9/7 wavelet transforms[J].Journal of Northwest Forestry University,2012,27(1):225-228.(in Chinese)
[31]孙建平,王逢瑚,于海鹏.小波分析与人工神经网络在木质材料无损检测中的应用[J].木材工业,2004,18(5):24-33.
[32]王克奇,白雪冰,王辉.基于小波变换的木材表面纹理分类[J].哈尔滨工业大学学报,2009,41(9):232-234.WANG K Q,BAI X B,WANG H.Classification of wood surface texture based on wavelets transform[J].Journal of Harbin Institute of Technology,2009,41(9):232-234.(in Chinese)
[33]多化豫,孙枭雄,袁云梅.基于图像处理提高木材识别准确性的新方法[J].西北林学院学报,2017,32(1):244-247.DUO H Y,SUN X X,YUAN Y M.Improvement of wood identification accuracy based on image processing[J].Journal of Northwest Forestry University,2017,32(1):244-247.(in Chinese)
[34]DO M N,VETTERLI M.The contourlet transform:an eficientdirectioal multiresolution image representation[J].IEEETransaction Image on Processing,2005,14(12):2091-2106.
[35]任洪娥,王海丰,赵鹏.新的木材显微细胞图像分类识别方法[J].计算机工程与应用,2009,45(28):246-248.
[36]李超,吕宪伟,涂文俊,等.基于计算机视觉的实木表面智能化分选系统设计[J].北京林业大学学报,2016,38(3):102-109.LI C,LU X W,TU W J,et al.Design of an intelligent wood surface grading system based on computer vision[J].Journal of Beijing Forestry University,2016,38(3):102-109.(in Chinese)