Visual Positioning Algorithm of Paper Plastic Composite Bag Based on Improved Hough Transform

YAN Guo-ping, WU Shi-ran, ZHU Xiao-fan, ZHONG Fei, ZHOU Hong-di

Packaging Engineering ›› 2021 ›› Issue (7) : 220-224.

Packaging Engineering ›› 2021 ›› Issue (7) : 220-224. DOI: 10.19554/j.cnki.1001-3563.2021.07.030

Visual Positioning Algorithm of Paper Plastic Composite Bag Based on Improved Hough Transform

  • YAN Guo-ping, WU Shi-ran, ZHU Xiao-fan, ZHONG Fei, ZHOU Hong-di
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Abstract

In order to quickly and accurately obtain the position offset and inclination information of the paper-plastic composite bag during the correction process, this paper proposes a paper-plastic composite bag visual positioning algorithm based on improved Hough transform. First, the paper-plastic composite bag image on the platform was segmented by the Otsu method to remove the belt part; then the paper-plastic composite bag image was denoised by the variance-based differential filtering method to highlight the edge of the composite bag image; finally, the Canny calculation was used to obtain the edge points of the paper-plastic composite bag, and the improved Hough transform algorithm was used to extract the four edges of the paper-plastic composite bag as a straight line to solve the center position and inclination of the paper-plastic composite bag. The improved algorithm was superior to the traditional Hough transform algorithm in terms of line extraction accuracy and time-consuming. It only took 0.335 s to obtain the position and inclination of the paper-plastic composite bag, which reduced the time consumption by 76%. Therefore, the time consumption of the improved algorithm meets the requirements of deviation correction and location.

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YAN Guo-ping, WU Shi-ran, ZHU Xiao-fan, ZHONG Fei, ZHOU Hong-di. Visual Positioning Algorithm of Paper Plastic Composite Bag Based on Improved Hough Transform[J]. Packaging Engineering. 2021(7): 220-224 https://doi.org/10.19554/j.cnki.1001-3563.2021.07.030

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