Automated loading and unloading of containers is a key task in port automation,and container recognition is one of the key technologies for achieving automated loading and unloading.To address the problem of poor performance of traditional template matching algorithms under multi-scale and lighting variation conditions,an algorithm based on color and texture feature matching is proposed,which combines a color-based feature block matching algorithm with a mathe-matical morphological texture feature extraction algorithm.The algorithm uses block matching to perform preliminary position-ing of the container and uses a method to extract convex texture features on the container surface for precise positioning.The result shows that the algorithm can effectively recognize and locate containers while meeting real-time requirements and has good robustness to scale and lighting changes.
关键词
港口自动化/集装箱识别/块匹配/数学形态学
Key words
port automation/container recognition/block matching/mathematical morphology
维普
万方数据