This paper proposes an energy-minimizing level set method for defect detection in product surface, which consists of image segmentation module, image feature extraction module and product defect detection module. This new method, embedding energy function into the classic level set algorithm, segments internal and external areas of product image with minimized energy consumption, ensuring that the gradient of the level set function is in the direction of the minimum point so that the evolution process is closer to the zero level set. 15-dimentional features including zero-crossing rate and image entropy are used in the process of contour detection. Results show that the method is highly accurate and effective.
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The authors acknowledge the National Natural Science Foundation of China (Award Number: 51405435).
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Hu, K., Zhang, S. & Zhao, X. An Energy-Minimizing Level Set Method for Defect Detection. Wireless Pers Commun 102, 3545–3555 (2018). https://doi.org/10.1007/s11277-018-5390-5
- Defect detection
- Level set
- Energy minimization
- Image encryption