激光与光电子学进展, 2020, 57 (24): 241024, 网络出版: 2020-12-01   

基于Canny算子改进型的影像测量边缘检测 下载: 1193次

Improved Image Measurement Edge Detection Based on Canny Operator
作者单位
江南大学物联网工程学院, 江苏 无锡 214122
引用该论文

张加朋, 于凤芹. 基于Canny算子改进型的影像测量边缘检测[J]. 激光与光电子学进展, 2020, 57(24): 241024.

Jiapeng Zhang, Fengqin Yu. Improved Image Measurement Edge Detection Based on Canny Operator[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241024.

参考文献

[1] 张舞杰, 杨义禄, 李迪, 等. 自动影像测量系统关键算法[J]. 光学精密工程, 2007, 15(2): 294-301.

    Zhang W J, Yang Y L, Li D, et al. Key algorithms of automatic image measurement system[J]. Optics and Precision Engineering, 2007, 15(2): 294-301.

[2] LiuT, LiuY, LiuK, et al. Intrusion object recognition and space distance measurement in safety area of high voltage transmission lines[C]//2019 6th International Conference on Systems and Informatics (ICSAI), November 2-4, 2019, Shanghai, China. New York: IEEE, 2019: 878- 883.

[3] Barkavi T, Chidambarathanu N. Processing digital image for measurement of crack dimensions in concrete[J]. Civil Engineering Infrastructures Journal, 2019, 52(1): 11-22.

[4] Song L M, Li D P, Qin M C, et al. Research on high-precision hole measurement based on robot vision method[J]. Optoelectronics Letters, 2014, 10(5): 378-382.

[5] 段宇秀. 全自动影像测量仪零件尺寸测量方法研究[D]. 太原: 中北大学, 2019: 18- 24.

    Duan YX. Study on the measurement method of part size of automatic image measuring instrument[D]. Taiyuan: North University of China, 2019: 18- 24.

[6] Zheng Z, Zha B T, Xuchen Y S, et al. Adaptive edge detection algorithm based on grey entropy theory and textural features[J]. IEEE Access, 2019, 7: 92943-92954.

[7] 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]. Journal of Computer Applications, 2011, 31(1): 179-181.

[8] 化春键, 熊雪梅, 陈莹. 基于Sobel算子的工件圆弧轮廓特征提取[J]. 激光与光电子学进展, 2018, 55(2): 021011.

    Hua C J, Xiong X M, Chen Y. Feature extraction of workpiece circular arc contour based on sobel operator[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021011.

[9] 段锁林, 殷聪聪, 李大伟. 改进的自适应Canny边缘检测算法[J]. 计算机工程与设计, 2018, 39(6): 1645-1652.

    Duan S L, Yin C C, Li D W. Improved adaptive Canny edge detection algorithm[J]. Computer Engineering and Design, 2018, 39(6): 1645-1652.

[10] 舒启林, 山博. 改进Canny算子的亚像素定位算法[J]. 机械设计与制造, 2018( 10): 165- 168.

    Shu QL, ShanB. Sub-pixel localization algorithm based on modified Canny operator[J]. Machinery Design & Manufacture, 2018( 10): 165- 168.

[11] Deng CX, Wang GB, Yang XR. Image edge detection algorithm based on improved Canny operator[C]//2013 International Conference on Wavelet Analysis and Pattern Recognition, July 14-17, 2013, Tianjin, China. New York: IEEE, 2013: 168- 172.

[12] 袁俏俏, 章光, 陈西江, 等. 融合改进Canny算法的点云特征规则化[J]. 激光与光电子学进展, 2019, 56(16): 162801.

    Yuan Q Q, Zhang G, Chen X J, et al. Regularization of point cloud features by fusing improved canny algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(16): 162801.

[13] 巨志勇, 张文馨, 翟春宇. 基于改进Canny算子的垃圾图像边缘检测[J]. 电子科技, 2020, 33(8): 16-20.

    Ju Z Y, Zhang W X, Zhai C Y. Garbage image edge detection based on improved Canny algorithm[J]. Electronic Science and Technology, 2020, 33(8): 16-20.

[14] 梁肇峻, 钟俊. 基于Otsu算法与直方图分析的自适应Canny算法的改进[J]. 现代电子技术, 2019, 42(11): 54-58.

    Liang Z J, Zhong J. Adaptive Canny algorithm improvement based on Otsu algorithm and histogram analysis[J]. Modern Electronics Technique, 2019, 42(11): 54-58.

[15] Rong WB, Li ZJ, ZhangW, et al. An improved Canny edge detection algorithm[C]//2014 IEEE International Conference on Mechatronics and Automation, August 3-6, 2014, Tianjin, China. New York: IEEE, 2014: 577- 582.

[16] Chen XF, Guan HB, Gu JN, et al. and improvements on Canny algorithm[J]. Advanced Engineering Forum, 2012, 6/7: 205- 209.

[17] 刘丽霞, 李宝文, 王阳萍, 等. 改进Canny边缘检测的遥感影像分割[J]. 计算机工程与应用, 2019, 55(12): 54-58, 180.

    Liu L X, Li B W, Wang Y P, et al. Remote sensing image segmentation based on improved Canny edge detection[J]. Computer Engineering and Applications, 2019, 55(12): 54-58, 180.

[18] Xu H Y, Xu X L, Zuo Y B. Applying morphology to improve Canny operator's image segmentation method[J]. The Journal of Engineering, 2019, 2019(23): 8816-8819.

[19] 贺一波, 陈冉丽, 吴侃, 等. 基于K-means聚类的点云精简方法[J]. 激光与光电子学进展, 2019, 56(9): 091002.

    He Y B, Chen R L, Wu K, et al. Point cloud simplification method based on K-means clustering[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091002.

[20] 熊哲源, 樊晓平, 黎燕. 一种新的基于二值面积形态学的车牌定位算法[J]. 计算机仿真, 2008, 25(11): 285-287, 296.

    Xiong Z Y, Fan X P, Li Y. A new binary-area-morphology-based algorithm for license plate localization[J]. Computer Simulation, 2008, 25(11): 285-287, 296.

张加朋, 于凤芹. 基于Canny算子改进型的影像测量边缘检测[J]. 激光与光电子学进展, 2020, 57(24): 241024. Jiapeng Zhang, Fengqin Yu. Improved Image Measurement Edge Detection Based on Canny Operator[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241024.

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