The article introduces a new method for detecting defects in images, particularly in industries like steel processing and textile manufacturing. The researchers developed an automatic thresholding algorithm that uses the extreme edge of the defective region histogram to identify and separate defective objects from the background. This approach outperformed existing methods in accurately detecting defects of various shapes and sizes, even in images with complex gray-level distributions.