Power adapter appearance quality detection method based on multi-feature fusion

The invention relates to the technical field of image segmentation, in particular to a power adapter appearance quality detection method based on multi-feature fusion. The method comprises the following steps: acquiring a grayscale image of the power adapter; screening out a target pixel point according to the gray value and the gradient magnitude, and obtaining a target feature vector of the target pixel point; according to the target feature vector and the gray value of the target pixel point, obtaining a similar feature value; according to the gray value, the gradient and the similar characteristic value of the target pixel point, the length of the target interval where the target pixel point is located and the width of the gray image, a defect possible value is obtained, then an initial segmentation threshold value is obtained, the optimal segmentation threshold value is determined through iterative threshold value segmentation, and quality detection is conducted on the appearance of the power adapter. Ac