Texture defect detection detects defects in a texture based on a texture classifier trained with texture samples that do not contain defects. During inspection, the texture defect detection algorithm identifies as defective any regions that do not match the trained texture samples. The identified defects appear in the output image as blobs. You can use the particle analysis tools in the Vision library to analyze the properties of the detected defects. Texture defect detection is not designed for continuous web or surface inspection applications.