A Novel Approach for Automatic Detection of Defects in Radiographic Weld Images by Morphological and Statistical Operations
نویسندگان
چکیده
In this paper a novel approach for detecting the defects in weld radiographs is presented by using combinatorial morphological and statistical operations. The proposed method consists of several stages. The procedure first involves the application of wiener for noise removal and enhancing the original image. Then, the morphological opening operation is applied to find the fine interior segments. In the third step, the defects in the weld image are obtained by applying statistical operations. And finally, the global threshold operation is used to convert the resultant gray level image to binary image. The proposed novel method is applied on various radiographic weld images and the results obtained show the validity of the proposed method.
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