Aiming at the problem of no suitable measurement method for the angle between a product's upper and lower cylinder axes in a specific horizontal rotation position, a calculation method based on the Cognex vision system for automatic angle measurement was proposed. This algorithm uses binary image processing technology to reduce interference in product implementation caused by variations in surface roughness and resulting inconsistencies in the reflection effect. The ability to perform robust image feature searching is thereby built upon. It utilizes edge tools to locate the points on either side of a cylindrical product and compute the axial coordinate for averaging the measured axes at these positions to determine each product elements upper and lower axial angle measurement. Simulation results show that this algorithm utilizes binary image processing to effectively filter product differences, which plays a role in capturing product image features continuously and reliably. The edge tool based on feature location can accurately locate product edges and complete target angle calculations. It has certain production field application capabilities regarding image processing effectiveness and computational logic accuracy.
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Hangkai Zhong (2024) studied this question.
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