Geometric tolerance symbol segmentation method combining LSD (least squares) linear detection and connected domain marking method

Tukun Li (Inventor), Zhijie Xu (Inventor), Yanglong Cao (Inventor)

Research output: Patent

Abstract

The invention discloses a geometric tolerance symbol segmentation method combining an LSD (least squares) linear detection and connected domain marking method, which comprises the steps of collecting an image of a geometric tolerance marking block, preprocessing the image, positioning a geometric tolerance frame in the preprocessed image, removing upper and lower frame lines of the positioned geometric tolerance frame, and segmenting the geometric tolerance symbol in the image of the geometric tolerance marking block by adopting the LSD linear detection and connected domain marking method. The method comprises the steps of firstly carrying out image preprocessing on an image of a geometric tolerance marking block to reduce interference in the image, then positioning the geometric tolerance marking block by using a deep learning target detection method, then removing upper and lower frame lines of a geometric tolerance frame, and finally segmenting the geometric tolerance frame by using an LSD (least squares) linear detection and connected domain marking method to extract a geometric tolerance symbol.
Original languageEnglish
Patent numberCN112330659A
Filing date24/11/20
Publication statusPublished - 2021

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