稿件标题： 
Image Feature Identification Based Method in Nondestructive Test of Defective Parts 
稿件作者： 
TAN Xiankun, YANG Xiaoyi 
关键字词： 
fuzzy mathematical morphology, image identification, watershed algorithm, geometry features extraction 
文章摘要： 
Image processing has very important application in nondestructive test of defective metal parts, but there exist many problems in the process for original image identification processing, such as edge unclear. In order to remove edge discontinuousness, forge edge and oversegmentation, the paper proposed an algorithm of fuzzy morphology based feature identification in image processing. The method based on structure element of fuzzy mathematical morphology to identify feature, analyzed elements correlation, decided subjection function after preprocessed images，ascertained best segmentation threshold adopting technology of autorecognition best threshold. Then the algorithm took best threshold and path cost function as constraint condition to reduce search scope, enhance algorithm execute speed. Finally it extracted edge and identified image geometry features by dint of watershed algorithm. The paper took a special kind of recognition of image geometry features as an example to make 
收录刊物： 
2012.12 
稿件基金： 

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