[1] 庄天戈.CT原理与算法[M]. 上海:上海交通大学出版社,1992. ZHUANG T G. CT Theory and Arithmetic[M]. Shanghai:Shanghai Jiaotong University Press,1992.(in Chinese)
[2] 林晓梅,李琳娜,牛刚,等. 基于小波边缘检测的图像去噪方法[J]. 光学 精密工程,2004,12(1):88-93. LIN X M,LI L N,NIU G,et al.. Image de-noising based on wavelet edge detection[J]. Opt. Precision Eng,2004,12(1):88-93.(in Chinese)
[3] 郭玉波,姚郁,遆晓光. 基于空间矩的圆标记中心亚像素定位算法[J]. 吉林大学学报,2009,39(1):160-163. GUO Y B,YAO Y,DI X G. Subpixel location algorithm for circle target center based on spatial moment[J]. J. Jilin University(Engineering and Technology Edition),2009,39(1):160-163.(in Chinese)
[4] 尚雅层,陈静,田军委. 高斯拟合亚像素边缘检测算法[J]. 计算机应用,2011,31(1):179-181. SHANG Y C,CHEN J,TIAN J W. Sub-pixel edge detection algorithm based on Gauss fitting[J]. J. Computer Appl.,2011,31(1):179-181.( in Chinese)
[5] HARALICKR M. Digital step edges from zerocrossing of second directional derivatives[J]. IEEE T. Pattern Anal.,1984,6(1):58-68.
[6] HU Z F,DANG H SH,LI X R. A novel fast subpixel edge location method based on sobel-OFMM //Proc. of the IEEE International Conference on Automation and Logistics,Sept 1-3,2008,Qingdao,China,2008
[7] 王云慧,马军山,孙军. 基于边缘检测的七阶矩方法[J]. 计算机应用,2010,30(S1):159-161. WANG Y H,MA J SH,SUN J. Seven-order moments based on edge detection[J]. J. Computer Appl.,2010,30(S1):159-161.(in Chinese)
[8] 魏本征,赵志敏,华晋. 基于改进形态学梯度和Zernike矩的亚像素边缘检测方法[J]. 仪器仪表学报,2010,31(4):838-844. WEI B ZH,ZHAO ZH M,HUA J. Sub-pixel edge detection method based on improved morphological gradient and Zernike moment[J]. Chinese J. Sci. Instrument,2010,31(4):838-844.(in Chinese)
[9] XIANG L M,WAN T,HE C ZH. A stable least squares ellipses fitting algorithm based on Zernike moments[J]. Advanced Mater. Res.,2011,142:199-203.
[10] GHOSAL S,MEHROTRA R. Orthogonal moment operators for subpixel edge detection[J]. Pattern Recognition,1993,26(2):295-306.
[11] Al-RAWI M. Fast Zernike moments[J]. Real-Time Image Proc.,2008,3(1-2):89-96.
[12] LIANG B,DONG M L,WANG J,et al. Sub-pixel location of center of target based on Zernike moment[J]. SPIE,2010,7544:75443A.
[13] 高世一,赵明扬,张雷,等. 基于Zernike正交矩的图像亚像素边缘检测算法改进[J]. 自动化学报,2008,34(9):1163-1168. GAO SH Y,ZHAO M Y,ZHANG L,et al.. Improved algorithm about subpixel edge detection of image based on Zernike orthogonal moments[J]. Acta Automatica Sinica,2008,34(9):1163-1168.(in Chinese)
[14] FANG Y H,XIAO H M,WANG B L. A sub-pixel feature extraction method for CT image based on Zernike moments //2nd IEEE International Conference on Advanced Computer Control(ICACC 2010),Mar 27-29,2010,Shenyang,China,2010:539-542.
[15] 曲迎东,李荣德,白彦华,等. 高速的9×9尺寸模板Zernike矩边缘算子[J]. 光电子·激光,2010,21(11):1683-1687. QU Y D,LI R D,BAI Y H,et al.. A high-speed Zernike moments edge operator based on 9×9 masks[J]. J.Optoelectronics·Laser,2010,21(11):1683-1687.(in Chinese)
[16] 曲迎东,崔成松,陈善本,等. Soble-Zernike矩亚像素边缘算子的影响因素分析[J]. 光电工程,2005,32(7):71-73. QU Y D,CUI CH S,CHEN SH B,et al.. Analysis of the influencing factors on subpixel Sobel-Zernike moments edge operator[J]. Opto-electronic Eng.,2005,32(7):71-73.(in Chinese)
[17] 刘丰林,乔桂锋,邹斌. 工业CT图像圆精确测量[J]. 光学 精密工程,2009,11(17):2842-2848. LIU F L,QIAO G F,ZOU B. Precise measurement of circles in industrial computed tomographic images[J]. Opt. Precision Eng.,2009,11(17):2842-2848.(in Chinese)
[18] 向才兵,曾理. 综合CV和Facet模型的裂纹边缘检测[J]. 计算机工程与应用,2011,47(2):153-155. XIANG C B,ZENG L. Crack edge detection using comprehensive CV and facet model[J]. Computer Eng. Appl.,2011,47(2):153-155.(in Chinese)
[19] 马睿,曾理,卢艳平. 工业CT图像的亚像素级面积测量[J]. 计算机工程与应用,2009,45(15):233-236. MA R,ZENG L,LU Y P. Sub-pixel area measurement method of ICT image[J]. Computer Eng. Appl.,2009,45(15):233-236.(in Chinese)
[20] AGNIESZKA L. Multiscale moments-based edge detection //Eurocon 2009. IEEE,May 18-23,2009,St.-petersburg,USA,2009:1414-1419.
[21] 陈娟,陈乾辉,师路欢,等. 图像跟踪中的边缘检测技术[J]. 中国光学与应用光学,2009,2(1):46-52. CHEN J,CHEN Q H,SHI L H,et al.. Edge detection technology in imaging tracking[J]. Chinese J. Optics and Appl. Optics,2009,2(1):46-52.(in Chinese)
[22] 袁理,叶露,贾建禄. 基于Hough变换的椭圆检测算法[J]. 中国光学与应用光学,2010,3(4):379-384. YUAN L,YE L,JIA J L. Ellipse detection algorithm based on Hough transforms[J]. Chinese J. Opt. and Appl. Optics,2010,3(4):379-384.(in Chinese)
|