Edge Detection of Inner Crack Defects Based on Improved Sobel Operator and Clustering Algorithm

Author:

Wang Ke Fei1

Affiliation:

1. Jilin Business and Technology College

Abstract

The classical Sobel edge detection operator has the shortcomings of low edge positioning accuracy and coarse edge, image edge detection based on improved Sobel operator and clustering algorithm was proposed. Four Sobel-like edge operators are used to improve the edge positioning accuracy and clustering algorithm are used to edge thinning. The experimental result demonstrates that the effect of the edge detection is greatly improved comparing with the traditional edge detection methods.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Surface crack detection using image processing and support vector machine;2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2023-06-05

2. Application of an edge detection algorithm for surface determination in industrial X-ray computed tomography;Production Engineering;2022-01-12

3. Crack Detecting by Recursive Attention U-Net;2020 3rd International Conference on Robotics, Control and Automation Engineering (RCAE);2020-11-05

4. Navigation Algorithm Based on the Boundary Line of Tillage Soil Combined with Guided Filtering and Improved Anti-Noise Morphology;Sensors;2019-09-11

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