Defect detection in web inspection using fuzzy fusion of texture features

This paper describes a novel approach for real-time defect detection targeted to web inspection systems using real-time processing of raster scanned images. Our new method utilizes a fuzzy fusion of texture features to detect image rows that contain defects, without requiring access to the two dimensional frame data. The method is suitable for in-camera processing where an FPGA is directly connected to the digitized video stream. This method is successfully implemented in the limited resources of one FPGA without the use of a frame-grabber