Research on Feature Extraction of Mobile Phone Middle Frame Based on Binocular Structured Light
Path extraction in automatic dispensing operations on mobile phones commonly uses a combination of line structured light and two-dimensional image analysis methods.Line structured light has high accuracy but slow speed,and two-dimensional image analysis methods re-quire a lot of time to debug and have poor universality.To improve the efficiency and accuracy of dispensing glue on mobile phone frames,a feature extraction system for mobile phone frames based on binocular structured light is designed.The system uses a four step phase-shifting method to encode qualified Lei codes,and introduces a robust Gray code binarization method to improve accuracy while filtering the back-ground.After polar correction and decoding,the three-dimensional point cloud coordinates are calculated based on phase matching of the de-coding information.After preprocessing the point cloud model,a point cloud contour extraction method combining coarse and fine extraction is used.RANSAC is used to fit the contour lines,and the dispensing path is obtained by offsetting along the normal vector.The experimental re-sults show that,while ensuring accuracy,the three-dimensional imaging time of the system is 26.1%of that of the line laser method,and the total processing time is 56.5%of that of the line structured light combined with two-dimensional image analysis method,indicating better ro-bustness,which has a fast extraction speed and stable extraction effect,laying a good foundation for efficient automatic dispensing.
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