The article discusses a method for detecting defects in images by comparing their textures. The researchers used a nonparametric regression approach to measure the similarity or difference between signals. They developed a test statistic based on the distance between regression models and used bootstrap tests to handle the complexity of the data. By applying this method to image processing, they were able to accurately detect defects in textures by analyzing the spatial relationships between pixels and their neighborhoods.