《机床与液压》 Hydromechatronics Engineering

文章详情

稿件标题: Image Feature Identification Based Method in Nondestructive Test of Defective Parts
稿件作者: TAN Xian-kun, YANG Xiao-yi
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 over-segmentation, 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 auto-recognition 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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