Abstract
Keywords-image processing; workpieces localization; Hough Transform Abstract—Affected by influence factors such as physical lighting environment or joining structures of the workpieces, etc., the positioning of workpieces by image processing may have huge deviation and are even not the location of the final target workpiece. This article realizes objective workpieces positioning by an optimization algorithm combining generalized Hough Transform and Contour extraction. In the algorithm contour extraction is introduced to carry out edge detection by using image binaryzation together with image corrosion technology. The boundary information of the template can be fabricated into a reference table (R-Table) and then to conduct matching voting. The simulation results show that this algorithm can pinpoint matching template workpieces which benefits the image scale measurement of workpieces later.
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