Edge detection and texture segmentation based on independent component analysis

We present a new feature extraction technique based on independent component analysis (ICA). We use ICA to learn the basis junctions of natural images and then the basis functions are used as pattern templates for feature detections. The successful applications of the proposed method to edge detection and texture segmentation are demonstrated.