To further improve 3D reconstruction accuracy of tool wear area
a transform-domain fusion method is proposed. Nonsubsampled contourlet transform(NSCT)and wavelet transform(WT)are combined in the transform domain. The low-frequency coefficients obtained by NSCT are fused with WT method
and the corresponding high-frequency coefficients are fused based on the regional variance criteria
so that the clearly-focused tool image is obtained to highlight the overall gray level information and edge detail information of tool wear image
so as to obtain clearer two-dimensional tool image and more accurate wear pattern. The 3D morphology and wear volume obtained by the three methods are compared with the results from microscope
it is found that this 3D morphology with the proposed method best coincides with the microscope result
and the average relative error of the wear volume is less than 10%. Compared with the traditional WT and NSCT methods
it is found that the proposed method has certain advantages in terms of the image clarity and accuracy of the wear volume and the reconstruction results are superior to ones obtained by using of non-subsampled contourlet transform or wavelet transform method alone for 3D reconstruction of the tool wear area.
关键词
Keywords
references
ZHU Aibin, HE Dayong, ZHAO Jianwei, et al. 3D wear area reconstruction of grinding wheel by frequency-domain fusion [J]. The International Journal of Advanced Manufacturing Technology, 2017, 88(1): 1111-1117.
TONG Zhan, HE Ning, LI Liang, et al. Methods to measure and evaluate 3D topography of tool wear [J]. Mechanical Manufacturing and Automation, 2008, 37(5): 57-60.
WANG W H, WONG Y S, HONG G S. 3D measurement of crater wear by phase shifting method [J]. Wear, 2006, 261(2): 164-171.
VUAGˇUINA D R, BAJIAG'U D, JOZIAG'U S, et al. Evaluation of 3D tool wear in machining by successive stereo-photogrammetry and point cloud processing [J]. TehniAcˇUki Vjesnik, 2013, 20(3): 449-458.
AGˇUERAGˇUE L, PUASˇUAVEC F, KOPAAGˇU J. 3D cutting tool-wear monitoring in the process [J]. Journal of Mechanical Science and Technology, 2015, 29(9): 3885-3895.
BARRON J T, MALIK J. Shape, illumination, and reflectance from shading [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(8): 1670-1687.
PICCININI F, TESEI A, ZOLI W, et al. Extended depth of focus in optical microscopy: assessment of existing methods and a new proposal [J]. Microscopy Research Technique, 2012, 75(11): 1582-1592.
ZHU Aibin, HU Haoqiang, HE Dayong, et al. Three-dimensional reconstruction of tool wear area for grinding wheel using frequency-domain fusion method [J]. Journal of Xi'an Jiaotong University, 2015, 49(5): 82-86.
HU Jianfang, ZHENG Weishi, XIE Xiaohua, et al. Sparse transfer for facial shape-from-shading [J]. Pattern Recognition, 2017, 68: 272-285.
CIACCIO E J, TENNYSON C A, BHAGAT G, et al. Use of shape-from-shading to estimate three-dimensional architecture in the small intestinal lumen of celiac and control patients [J]. Computer Methods and Programs in Biomedicine, 2013, 111(3): 676-684.
MAKBOL N M, KHOO B E. A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition [J]. Digital Signal Processing, 2014, 33: 134-147.
LI Huafeng, CHAI Yi, LI Zhaofei. Multi-focus image fusion based on nonsubsampled contourlet transform and focused regions detection [J]. Optik-International Journal for Light and Electron Optics, 2013, 124(1): 40-51.