An Adaptive Algorithm for Workpiece Edge Detection Combining Morphology and Canny Operator

Yuan Li, Byung-Won Min, Ke Li

Article ID: 5509
Vol 7, Issue 4, 2024

VIEWS - 122 (Abstract) 80 (PDF)

Abstract


Addressing the challenges of limited noise suppression, inaccurate edge detection, and poor adaptability encountered in the detection of workpiece image edges in complex industrial environments, this study introduces an adaptive algorithm for edge detection that
integrates morphological processing with the Canny operator. Firstly, a weighted adaptive morphological processing is designed to extract the
gradient magnitude and direction. Secondly, this extracted information is weighted fused with the gradient magnitude and direction obtained
from the traditional Canny operator. Subsequently, an adaptive dual threshold algorithm is devised for edge detection and connection. Finally,
the proposed algorithm is experimentally validated using images collected from industrial robot assembly lines. The results demonstrate that
the proposed algorithm outperforms traditional methods, detecting more effective and continuous edges with significant noise reduction.

Keywords


Morphology; Canny Operator; Workpiece Edge Detection; Adaptive; Fusion Algorithm

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References


1. [1] Xiao Yang, Zhou Jun. Overview of Image Edge Detection[J] Computer Engineering and Applications, 2023, 59(5):40-54.

2. [2] Hu Zhibin, Deng Caixia, Shao Yunhong et al. Image edge detection algorithm based on dyadic wavelet transform and improved

3. morphology[J] Computer Engineering and Design, 2020, 41(1), 190-196.

4. [3] Sun Haiming, Han Guoqiang. Noise Image Edge Detection Based on Improved Canny Algorithm[J] Journal of Hubei University of

5. Automotive Technology, 2023, 37(4), 54-57, 63.

6. [4] Du Xuwei, Chen Dong, Ma Zhaokun et al. Improved Image Edge Detection Algorithm Based on Canny Operator[J] Computer &

7. Digital Engineering, 2022, 50(2):410-413,457.

8. [5] Deng Jie, Li Weixian, Wu Sijin. Detection of defects in glass ceramics based on grayscale and geometric features[J] Optical Technique, 2021, 47(04):428-431.

9. [6] Xi Chenxin, Guan Shijie. Air compressor crankshaft profile extraction based on improved Canny operator[J] Journal of Xiangtan

10. University (Natural Science Edition), 2023, 45(6):110-115.

11. [7] Yu Xinshan, Meng Xiangyin, Jin Tengfei et al. Object Edge Detection Algorithm Based on Improved Canny Algorithm[J] Laser &

12. Optoelectronics Progress, 2023,60(22):221-230.

13. [8] Xavier Soria, Gonzalo Pomboza-junez, Angel Domingo Sappa. LDC: lightweight dense CNN for edge detection[J].IEEE Access,

14. 2022, 10:68281-68290.

15. [9] Li Jindi, Zhang Taojie, Zhou Dibin, et al.Edge Detection Algorithm Based on CNN Cross-layer Fusion Structure[J] Computer Systems & Applications, 2024, 33(2), 207-215.




DOI: https://doi.org/10.18686/ijmss.v7i4.5509

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