A defect detection scheme for web surface inspection
The goal of this work was to develop an improved defect detection scheme for highspeed real-time web surface inspection. This goal was realized by splitting the task into two independent parts: feature extraction and segmentation. Both parts were implemented using efficient algorithms which were implemented in hardware that is suitable and fast enough to be included in a working web inspection system. The proposed scheme is based on some derived texture features and a new self-organizing map variant, the statistical self-organizing map. These techniques offer several improvements over the gray-level thresholding techniques that have been traditionally used in commercial web inspection systems.
defect detection surface inspection web inspection self-organizing map image segmentation unsupervised segmentation co-occurrence matrix vhdl fpga