·576· 智能系统学报 第13卷 method based on leaf shape features[J].Journal of com- and Canny edge detection for 3D seismic discontinuity puter applications,2016,36(s2):200-202. enhancement[J].Computers and geosciences,2014,72: [4]SHRIVAKSHAN G T,CHANDRASEKAR C.A compar- 192-200. ison of various edge detection techniques used in image [14]GAO Wenshuo,ZHANG Xiaoguang,YANG Lei,et al. processing[]International journal of computer science is- An improved Sobel edge detection operator[C1//2010 3rd ues,2012,95):269-276. IEEE International Conference on Computer Science and [5]KAUR K,MALHOTRA S.A survey on edge detection us- Information Technology.Chengdu,China,2010:67-71. ing different techniques[J].International journal of applica- [15]WANG Yu,ZHAO Yongsheng,CAI Qiang,et al.A var- tion or innovation in engineering and management,2013. ied local edge pattern descriptor and its application to tex- 2(4):496-500. ture classification[J].Journal of visual communication [6]ONN U,SINGLA P.A survey on conventional edge detec- and image representation,2016,34:108-117. tion techniques[J].Journal of algebra,2014,397:1-17. 作者简介： [7]BERZINS V.Accuracy of Laplacian edge detectors[J]. 陈肖蒙，女，1994年出生，硕士研 Computer vision,graphics,and image processing,1984, 究生，主要研究方向为图像处理、模式 27(2):195-210. 识别。 [8]DUDA R O,HART P E.Pattern classification and scene analysis[M].New York:Wiley,1973. [9]MAINI R,SOHAL JS.Performance evaluation of Prewitt edge detector for noisy images[J].GVIP journal,2006, 6(3):39-46. 王瑜，女，1977年出生，博士，副 [10]OGAWA K.ITO Y.NAKANO K.Efficient Canny edge 教授，硕士生导师，CC℉会员，主要研 detection using a GPU[C]//2010 First International Con- 究方向为图像处理、模式识别。 ference on Networking and Computing.Hangzhou,China, 2010:279-280. [11]VOLLMER J,MENCL R,MULLER H.Improved Lapla- cian smoothing of noisy surface meshes[J].Computer graphics forum,2010,18(3):131-138. 肖洪兵，男，1967年出生，博士 副教授，主要研究方向为图像处理、传 [12]HUSSEIN W B.MOATY AA.HUSSEIN M A,et al.A 感器与高动态测试技术。 novel edge detection method with application to the fat content prediction in marbled meat[J].Pattern recogni- tion,2011,44(12):2959-2970. [13]DI Haibin,GAO Dengliang.Gray-level transformationmethod based on leaf shape features[J]. Journal of com￾puter applications, 2016, 36(s2): 200–202. SHRIVAKSHAN G T, CHANDRASEKAR C. A compar￾ison of various edge detection techniques used in image processing[J]. International journal of computer science is￾sues, 2012, 9(5): 269–276. [4] KAUR K, MALHOTRA S. A survey on edge detection us￾ing different techniques[J]. International journal of applica￾tion or innovation in engineering and management, 2013, 2(4): 496–500. [5] ONN U, SINGLA P. A survey on conventional edge detec￾tion techniques[J]. Journal of algebra, 2014, 397: 1–17. [6] BERZINS V. Accuracy of Laplacian edge detectors[J]. Computer vision, graphics, and image processing, 1984, 27(2): 195–210. [7] DUDA R O, HART P E. Pattern classification and scene analysis[M]. New York: Wiley, 1973. [8] MAINI R, SOHAL J S. Performance evaluation of Prewitt edge detector for noisy images[J]. GVIP journal, 2006, 6(3): 39–46. [9] OGAWA K, ITO Y, NAKANO K. Efficient Canny edge detection using a GPU[C]//2010 First International Con￾ference on Networking and Computing. Hangzhou, China, 2010: 279–280. [10] VOLLMER J, MENCL R, MÜLLER H. Improved Lapla￾cian smoothing of noisy surface meshes[J]. Computer graphics forum, 2010, 18(3): 131–138. [11] HUSSEIN W B, MOATY A A, HUSSEIN M A, et al. A novel edge detection method with application to the fat content prediction in marbled meat[J]. Pattern recogni￾tion, 2011, 44(12): 2959–2970. [12] [13] DI Haibin, GAO Dengliang. Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement[J]. Computers and geosciences, 2014, 72: 192–200. GAO Wenshuo, ZHANG Xiaoguang, YANG Lei, et al. An improved Sobel edge detection operator[C]//2010 3rd IEEE International Conference on Computer Science and Information Technology. Chengdu, China, 2010: 67–71. [14] WANG Yu, ZHAO Yongsheng, CAI Qiang, et al. A var￾ied local edge pattern descriptor and its application to tex￾ture classification[J]. Journal of visual communication and image representation, 2016, 34: 108–117. [15] 作者简介： 陈肖蒙，女，1994 年出生，硕士研 究生，主要研究方向为图像处理、模式 识别。 王瑜，女，1977 年出生，博士，副 教授，硕士生导师，CCF 会员，主要研 究方向为图像处理、模式识别。 肖洪兵，男，1967 年出生，博士， 副教授，主要研究方向为图像处理、传 感器与高动态测试技术。 ·576· 智 能 系 统 学 报 第 13 卷