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A Machine Vision-Based Multifunctional Image Processing Platform

  • Baoming Li
  • Peiquan XuEmail author
Conference paper
Part of the Transactions on Intelligent Welding Manufacturing book series (TRINWM)

Abstract

With the development of society, robots gradually replace the human beings. The research of machine vision sensing is particularly important. This paper combines the open-source and the free OpenCV2.4.9 computer vision library, Daheng Imavision, and its development kit and VS2013 to achieve the docking. The format conversion of image data captured by industrial Imavision is successful, which adapts to the direct processing of image by OpenCV library function. In order to ensure the accuracy of image captured and processed, the camera is calibrated and corrected based on the platform. Based on MFC interface, modules such as “sub-pixel corner detection and processing,” “mouse center point extraction,” and “measurement of plane and stereoscopic distance” are developed. Combined with the OpenCV library function, a series of algorithm is developed to implement the interface function. The experimental verification and error analysis are carried out by using the captured image.

Keywords

OpenCV MFC interface Camera calibration Image processing 

Notes

Acknowledgements

This work is financially supported by the National Natural Science Foundation of China (51475282) and the Graduate Innovation Project (17KY0515).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.College of Materials EngineeringShanghai University of Engineering ScienceShanghaiChina

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