Fuzzy edge detection of inner defect based on cross-image

doi:10.3778/j.issn.1002-8331.2009.20.053

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (20): 179-180.DOI: 10.3778/j.issn.1002-8331.2009.20.053

• 图形、图像、模式识别 • Previous Articles Next Articles

Fuzzy edge detection of inner defect based on cross-image

KONG Fan-shu，YAO Fang，JIA Chao，ZOU Qi，WANG Bei-bei，AI Dong

College of Information Science and Engineering，Yanshan University，Qinhuangdao，Hebei 066004，China

Received:2008-09-05 Revised:2009-02-03 Online:2009-07-11 Published:2009-07-11
Contact: KONG Fan-shu

结构件内部缺陷断层图像的模糊边缘检测

孔凡树，姚芳，贾超，邹琪，王蓓蓓，艾东

燕山大学信息科学与工程学院，河北秦皇岛 066004

通讯作者: 孔凡树

Abstract

Abstract: Considering the main characters of inner defect in Industry Computer Tomography（ICT） image，such as complex shape，randomness，serious noise，and always fuzzy，this paper brings forward an improved fuzzy edge-detection method on the basis of studying the Pal algorithm.The algorithm introduces the best threshold into algorithm，and improves Pal membership function，then establishes a new fuzzy enhancement transformation，finally，an edge-connection step is added.The proposed algorithm is superior in detecting fuzzy edges.Experimental results show that the algorithm is a more practical，more efficient fuzzy edge extraction algorithm.

Key words: Otsu’method, membership function, image enhancement, edge-connection

摘要： 由于结构件内部缺陷形状复杂、随机性大及其断层图像噪声严重并具有一定的模糊性，在研究Pal模糊边缘检测算法的基础上，提出一种改进的模糊边缘检测算法。该算法将最佳阈值引进算法中，并以此改进了Pal算法中的隶属度函数，建立了新的模糊增强变换，最后增加了边缘连接的步骤。该算法具有较强的检测模糊边缘的能力，实验结果表明该算法是一种更实用、更高效的模糊边缘提取算法。

关键词: Otsu法, 隶属函数, 图像增强, 边缘连接

KONG Fan-shu，YAO Fang，JIA Chao，ZOU Qi，WANG Bei-bei，AI Dong. Fuzzy edge detection of inner defect based on cross-image[J]. Computer Engineering and Applications, 2009, 45(20): 179-180.

孔凡树，姚芳，贾超，邹琪，王蓓蓓，艾东. 结构件内部缺陷断层图像的模糊边缘检测[J]. 计算机工程与应用, 2009, 45(20): 179-180.

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Fuzzy edge detection of inner defect based on cross-image

结构件内部缺陷断层图像的模糊边缘检测

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