A Method of Container Image Rectification Based on Computer Vision

Xiaowei Xu, Jilong Wu, Taofeng Ye, Xiaodong Wang
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Abstract

Container image correction is an important step in image identification preprocessing for container terminal automation. This paper proposes a method for image correction of multi-angle containers based on computer vision technology. The method includes two steps, the first stage is the filtering and straight-line detection of the container image. And in the second stage, the corresponding points are obtained according to the detected straight-line, and the perspective transformation is performed to achieve the corrective images, which can make it easy to detect and identify image text areas.
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基于计算机视觉的容器图像校正方法
集装箱图像校正是集装箱码头自动化图像识别预处理的重要环节。提出了一种基于计算机视觉技术的多角度容器图像校正方法。该方法分为两步,第一步是对容器图像进行滤波和直线检测。第二阶段,根据检测到的直线得到相应的点,并进行透视变换得到校正图像,便于检测和识别图像文本区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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