A method for inspecting industrial parts surfaces based on an optics model
Machine Vision and Applications - special issue on high performance computing for industrial visual inspection
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
An Intelligent Real-time Vision System for Surface Defect Detection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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This research is aimed to accomplish an automatic visual inspection for the lateral surface of cylindrical objects using cameras and image processing technique. In this paper, the main concern is on the hardware tools that are needed to test the defects of the cylindrical objects and to make comparison between the lines scan and matrix camera. The proposed inspection is carried out with the line scans camera system, matrix camera with conical mirror and multi flat mirrors systems. Previous systems require a suitable hardware setting for inspected object to perform experiments and acquiring images. In this study, the images of the inspected objects will be taken from each system and by processing the images in MATLAB, these images are compared with each other in a specific way, thereby ensuring only the best images will be chosen for the inspection task. The characteristics of each system are considered depending on the final results of the MATLAB graphics produced.