Mineral casting detection method based on machine vision

The invention relates to the technical field of image processing, in particular to a mineral casting detection method based on machine vision, which comprises the following steps: acquiring a casting CT image, preprocessing to obtain a casting gray level image, obtaining defect clusters under all K values according to the value range of the preset K values, obtaining the smoothness of a gray level curve in any direction according to the defect clusters, and determining the smoothness of the gray level curve in any direction. Obtaining the importance of any direction and the importance of the reverse direction of any direction, obtaining the optimal K value according to the importance of any direction and the reverse direction of any direction and the smoothness of the gray curve, and obtaining the defect area according to the optimal K value. According to the method, clustering of different K values is carried out on the mineral casting image, the defect cluster is obtained according to the gray value charact