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| Edge Detection of the Defects in Ultrasonic C Scan Image Based on Morphology |
| LV Jiang-ming1,ZHENG Hui-feng1,TANG Ting-hao1,YU Sang-sang1,YANG Chen-long2 |
1.Institute of Precision Measurement and Control, China Jiliang University, Hangzhou, Zhejiang 310018, China;
2. Mechanical Department Zhejiang University, Hangzhou, Zhejiang 310027, China |
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Abstract For the weak adaptation of noise interference and low computational efficiency of the edge detection algorithm based on traditional morphology,the adaptive edge detection algorithm based on multi-structure and morphology and the ratio of edge was proposed. The ultrasonic C scan image was divided into three kinds of different complexity image according to the edge level percentage. Then,different structure elements were adopted in edge detection based on morphology for different complexity ultrasonic C scan image. At last,the final edge was determined according to the information entropy of different edge images. Experimental results showed that the proposed algorithm not only have effectively eliminated the influence of noise and better retain the image detail,but also improved the efficiency and accuracy of the edge detection of the defects in ultrasonic C scan image.
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2014, Vol. 35 
