Defect detecting method based on dimensionality reduction of data, electronic device, and storage medium

A defect detecting method based on dimensionality reduction of data implemented in an electronic device comprising:

• classifying each of a plurality of product images into a linear image or a non-linear image;
• obtaining a plurality of dimension reduction data by performing dimension reduction processing on the plurality of product images by applying a plurality of dimension reduction algorithms;
• determining an optimal dimension reduction data of the plurality of dimension reduction data;
• obtaining score data of the plurality of product image by inputting the optimal dimension reduction data into a Gaussian mixture model;
• determining whether the score data is less than a threshold;
• and
• determining that at least one defect exists in a corresponding product image of the plurality of product images in response that the score data is determined to be less than the threshold.

A non-transitory storage medium having instructions stored thereon, when the instructions are executed by a processor of an electronic device, the processor is configured to perform a defect detecting method based on dimensionality reduction of data, wherein the method comprises:

• classifying each of a plurality of product images into a linear image or a non-linear image;
• obtaining a plurality of dimension reduction data by performing dimension reduction processing on the plurality of product images by applying a plurality of dimension reduction algorithms;
• determining an optimal dimension reduction data of the plurality of dimension reduction data;
• obtaining score data of the plurality of product image by inputting the optimal dimension reduction data into a Gaussian mixture model;
• determining whether the score data is less than a threshold;
• and
• determining that at least one defect exists in a corresponding product image of the plurality of product images in response that the score data is determined to be less than the threshold.