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Workpiece image Mosaic technology based on OpenCV image processing

机译:基于OpenCV图像处理的工件图像拼接技术

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With the development of industrial technology, assembly line production of workpiece has been applied in many industries. The automatic stitching technology of assembly line images can quickly obtain wide field and high resolution images. Based on Python development language, through opencv visual computer library and surf image matching algorithm, this paper focuses on the problems of feature extraction and edge detection of pipeline image, image overlapping region fusion and so on, and realizes the rapid splicing of pipeline image. Experimental verification and analysis prove the feasibility of the algorithm technology.
机译:随着工业技术的发展,在许多行业中,工件的装配线生产已应用。 装配线图像的自动拼接技术可以快速获得宽场和高分辨率图像。 基于Python开发语言,通过OpenCV视觉计算机库和冲浪图像匹配算法,本文侧重于管道图像的特征提取和边缘检测的问题,图像重叠区域融合等,实现了流水线图像的快速拼接。 实验验证和分析证明了算法技术的可行性。

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