[1] 金路,王静秋.基于形态学算法分割铁谱图像研究[J].机械制造与自动化,2011(3):10-13.JIN L,WANG J Q.Technical research on ferrography division of morphology[J].Machine Building & Automation,2011(3):10-13(in Chinese).
[2] 王静秋,张龙,王晓雷.融合颜色聚类和分水岭算法的铁谱图像分割[J].中国矿业大学学报,2013,42(5):866-872.WANG J Q,ZHANG L,WANG X L.Ferrographic image segmentation by the method combining k-means clustering and watershed algorithm[J].Journal of China University of Mining & Technology,2013,42(5):866-872(in Chinese).
[3] 张龙.蚁群算法在铁谱图像处理中的应用研究[D].南京:南京航空航天大学,2013:31-37.ZHANG L.Application research of ant colony algorithm in ferrography image processing[D].Nanjing:University of Aeronautics and Astronautics,2013:31-37(in Chinese).
[4] WANG J,YAO P,LIU W,et al.A hybrid method for the segmentation of a ferrograph image using marker-controlled watershed and grey clustering[J].Tribology Transactions,2016,59(3):513-521.
[5] 张云强,张培林,王国德.铁谱图像典型磨粒自动提取方法研究[J].计算机工程与应用,2013,49(16):175-178.ZHANG Y Q,ZHANG P L,WANG G D.Research on automatic extraction of wear particles for ferrographic images[J].Computer Engineering and Applications,2013,49(16):175-178(in Chinese).
[6] 温广瑞,徐斌,张志芬,等.基于差商的油液监测铁谱图像自适应分割[J].光学精密工程,2017,25(5):1322-1330.WEN G R,XU B,ZHANG Z F,et al.Self-adaptive segmentation of oil monitoring ferrographic image based on difference quotient[J].Optics and Precision Engineering,2017,25(5):1322-1330(in Chinese).
[7] WU H K,WU T H,PENG Y P,et al.Watershed-based morphological separation of wear debris chains for on-line ferrograph analysis[J].Tribology Letters,2014,53(2):411-420.
[8] WU T,WU H,DU Y,et al.Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features[J].Wear,2014,316(1-2):19-29.
[9] SOILLE P.Morphological image analysis principles and applications[M].Berlin:Springer,1999:123-140.
[10] 余旺盛,侯志强,王朝英,等.基于改进滤波和标记提取的分水岭算法[J].电子学报,2011,39(4):825-830.YU W S,HOU Z Q,WANG C Y,et al.Watershed algorithm based on modified filter and marker-extraction[J].Acta Electronica Sinica,2011,39(4):825-830(in Chinese).
[11] ALI H,LALI M I,NAWAZ M Z,et al.Symptom based automated detection of citrus diseases using color histogram and textural descriptors[J].Computers and Electronics in Agriculture,2017,138(C):92-104.
[12] BACKES A R.LBP maps for improving fractal based texture classification[J].Neurocomputing,2017,266:1-7.
[13] 宋国云,范彦斌.基于最大类间方差的数字化铁谱图像分割[J].佛山科学技术学院学报(自然科学版),2007,25(1):36-39.SONG G Y,FAN Y B.The algorithm for the ferrography image segmentation based on maximum variance between clusters[J].Journal of Foshan University (Natural Science Edition),2007,25(1):36-39(in Chinese).
[14] 邱丽娟,宣征南,张兴芳.基于K-means聚类与最大类间方差的磨粒彩色图像分割[J].润滑与密封,2014,39(12):101-104.QIU L J,XUAN Z N,ZHANG X F.Debris color image segmentation by K-means clustering and Ostu method[J].Lubrication Engineering,2014,39(12):101-104(in Chinese).
[15] 齐福柱.基于分形维数的磨粒识别方法研究[D].大连:大连海事大学,2014:16-18.QI F Z.Based on the fractal dimension of abrasive identification method research[D].Dalian:Dalian Maritime University,2014:16-18(in Chinese). |