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气缸套识别中的表面螺纹趋势项消除技术研究
摘要:汽车时代的到来,彰显着汽车在人们日常生活中的地位逐渐的提升,气缸套是发动机最为核心的部分,因此气缸套的检测显得尤为重要,但由于现在多数的检测处于人工检测的阶段,并不能很精确的检测出内部缺陷,而且由于气缸套表面存在螺纹,螺纹的存在会对检测存在一定程度的影响,因此,本次课题研究的目的在于如何消除气缸套识别中的表面螺纹趋势项所带来的影响。
机器视觉系统在很多领域内都属于一项必不可少的技术。虽然机器视觉检测技术能对图像进行目标特征的提取,将输出的结果和标准的数值进行对比以此来得出判定结果,但气缸套中表面螺纹所带来的趋势项影响还没没有办法消除。本文的主要采用图像采集和图像增强技术对所需要的图像进行清晰处理,再通过边缘检测技术提取图像的边沿,然后通过轮廓跟踪技术追踪出螺纹的轮廓,在进行灰度值的提取,最终将螺纹部分的灰度值替换成非螺纹部分的灰度值,完成螺纹消除。
关键词:螺纹;机器视觉检测技术;图像处理;边缘检测;轮廓跟踪;灰度值替换
Abstract: the advent of the automobile age, shows a car in the people daily life status gradually improved, the cylinder sleeve is most the core part of the engine, so detection of cylinder liner is particularly important, but because most of the detection is now in a stage of artificial detection, and can not be very precise detection of the internal defects, and due to the presence of thread on the surface of cylinder liner, the thread will have a certain degree of influence on the detection. Therefore, the purpose of the research is how to eliminate the recognition of cylinder liner surface thread trend item caused by the impact.
Machine vision system in quality control, quality inspection, finished product inspection, condition monitoring, quality control and other areas of extensive use, although the machine vision inspection technology of image target feature extraction, will output the result and the standard values were compared in order to come to determine the results, but the effect of cylinder sleeve thread surface caused by the trend of yet there is no way to eliminate. This paper mainly uses image acquisition and image enhancement technology to the image clearly, again by edge detection technique to extract the image edge. Then contour tracing technique to trace out the thread contour, extraction in gray value, will eventually spiral Gray value of the gray value of the part of the gray value, complete the thread to eliminate.
Key words: thread; machine vision inspection technology; image processing; edge detectio
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