Abstract
The purpose of this paper is to research application of speed-up robust feature (SURF) based on the region of interest for workpiece matching and positioning. Thresholding is a simple but important method to perform image segmentation. In order to reduces the complexity of the data and simplifies the process of recognition, the image is segmented by threshold value method which eliminates and suppresses useless information of image background. The image matching algorithm shows a better performance on real-time than the standard SURF and it succeeds in accelerating the speed of image pre-processing before image matching. In addition, the good robustness and adaptability of SURF are maintained. Compared with the traditional algorithm, improved algorithm enhances the efficiency of vision inspection system and can be used in other applications of image matching.
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