NDLI: Line Extraction of industrial Parts Based on Least Square Template Matching

Content Provider	IEEE Xplore Digital Library
Author	Haiyan Guan Jianqing Zhang Qi Hu Liang Zhong
Copyright Year	2008
Description	Author affiliation: Sch. of remote sensing & Inf. Eng., Wuhan Univ., Wuhan (Haiyan Guan; Jianqing Zhang)
Abstract	High precision three-dimensional reconstruction and measurement of industrial objects by digital imagery is one of the most active research fields in Computer Vision and Digital Photogrammetry. Due to most of industrial sheet-metal parts are made up of linear features, it is important to extract lines from 2D images accurately. Meanwhile, quality of lines will further to decides on precision of reconstruction of objects. In this paper, edge detector firstly is performed to extract edges of parts. Edge detection is an important pre-processing step in image analysis. Then, Hough transform is utilized to form an initial line segments. Lastly, least square template matching will further to extract line segments, which was used to get sub-pixel precision. Therefore, principle and methods of line segment least squares template matching to extract lines from imagery are described. Corresponding experiments and results are demonstrated with the conclusion.
Starting Page	696
Ending Page	700
File Size	453331
Page Count	5
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.57
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision LSTM Image edge detection hough transform Least squares methods Image reconstruction Image segmentation Detectors Computer errors Feature extraction Computer industry Three dimensional displays canny line extraction
Content Type	Text
Resource Type	Article

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