Abstract: Disclosed is a system and method for identifying a defect in a weld joint through an X-Ray image. An image capturing module captures the X-Ray image of the weld joint. The X-Ray image comprises dark areas and bright areas. An image processing module executes a gamma correction algorithm on the X-Ray image by using a standard power law transform in order to enhance contrast of the dark areas and the bright areas. The image processing module further passes the X-Ray image through one or more de-noising filters in order to remove noise from the X-Ray image. An analysis module identifies a fragment of the X-Ray image that comprises one or more dark area with respect to neighboring areas adjacent to the one or more dark area. The analysis module further segments the X-Ray image into one or more segments in order to identify the defect in the weld joint.
Abstract: Disclosed is a system and method for identifying a defect in a weld joint through an X-Ray image. An image capturing module captures the X-Ray image of the weld joint. The X-Ray image comprises dark areas and bright areas. An image processing module executes a gamma correction algorithm on the X-Ray image by using a standard power law transform in order to enhance contrast of the dark areas and the bright areas. The image processing module further passes the X-Ray image through one or more de-noising filters in order to remove noise from the X-Ray image. An analysis module identifies a fragment of the X-Ray image that comprises one or more dark area with respect to neighboring areas adjacent to the one or more dark area. The analysis module further segments the X-Ray image into one or more segments in order to identify the defect in the weld joint.
Type:
Application
Filed:
April 7, 2014
Publication date:
November 27, 2014
Applicant:
ThinkSmart IT Solutions Private Limited