CAJ | 학술논문

针对矿用输送带运行过程中容易出现表面损伤的工程背景，利用机器视觉技术法，提出了一种基于多结构元素的改进抗噪形态学输送带破损检测算法。该算法通过引入矢量边缘检测法和多结构元素相结合的方法，能够有效地检测破损的灰度图像边缘，且具有良好的抗噪性能。实验结果验证了该检测方法的有效性。
침대광용수송대운행과정중용역출현표면손상적공정배경，이용궤기시각기술법，제출료일충기우다결구원소적개진항조형태학수송대파손검측산법。해산법통과인입시량변연검측법화다결구원소상결합적방법，능구유효지검측파손적회도도상변연，차구유량호적항조성능。실험결과험증료해검측방법적유효성。
For the engineering background of mine conveyor belt prone to damage the surface in running process, an improved noise morphology conveyor belt breakage detection algorithm based on multiple structure elements is developed with machine vision technology. By introducing the vector edge detection algorithm and combining with multiple structure elements, the algorithm can effectively detect the damaged gray image edge, and has good noise resistance. The experimental results verify the effectiveness of the proposed detection method.