Line extraction algorithm based on image vectorization

2010 ◽  
Author(s):  
Mohamed Naouai ◽  
Melki Narjess ◽  
Atef Hamouda
Keyword(s):  
Line Extraction ◽  
Image Vectorization ◽  
Extraction Algorithm

Research on TV Goniometer Object Extraction Algorithm Based on Threshold Segmentation

2014 ◽  
Vol 889-890 ◽  
pp. 1093-1098
Author(s):  
He Chen ◽  
Nan Li ◽  
Tian Chen Huang ◽  
Rong Xia Duan
Keyword(s):  
Optimal Algorithm ◽  
Detection System ◽  
Detection Algorithm ◽  
Field Of View ◽  
Object Extraction ◽  
Gray Level ◽  
Line Extraction ◽  
Standard Signal ◽  
Extraction Algorithm ◽  
Target Extraction

In the TV goniometer detection system, to play the signal and field of view points line extraction is a key link in the process of parameter detection. Combination of target processing requirements, this article will target extraction algorithm based on gray level threshold and edge detection algorithm is studied, and through the experimental analysis to select the optimal algorithm was applied to the detection of TV goniometer; According to the characteristics of the standard signal and view points, lines, and put forward the corresponding methods of target recognition, and is verified through experiments

Adaptive Line Extraction for Slam Line Based Applications in Unknown Environments

2011 ◽  
Vol 403-408 ◽  
pp. 2057-2064
Keyword(s):  
Mobile Robot ◽  
Laser Scanner ◽  
Line Extraction ◽  
International Conference ◽  
Unknown Environments ◽  
Extraction Algorithm ◽  
Ieee International Conference

Paper has been removed due to plagiarism. The original was published in the Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics, Bangkok, Thailand, February 21 - 26, 2009. Recursive Line Extraction Algorithm from 2D Laser Scanner Applied to Navigation a Mobile Robot, Mohammad Norouzi, Mostafa Yaghobi, Mohammad Rezai Siboni, Mahdi Jadaliha

An adaptive text-line extraction algorithm for printed Arabic documents with diacritics

2020 ◽  
Author(s):  
Khader Mohammad ◽  
Aziz Qaroush ◽  
Mahdi Washha ◽  
Sos Agaian ◽  
Iyad Tumar
Keyword(s):  
Text Line ◽  
Line Extraction ◽  
Extraction Algorithm ◽  
Text Line Extraction

Automatic point cloud feature-line extraction algorithm based on curvature-mutation analysis

2019 ◽  
Vol 27 (5) ◽  
pp. 1218-1228
Author(s):  
陈华伟 CHEN Hua-wei ◽  
袁小翠 YUAN Xiao-cui ◽  
吴禄慎 WU Lu-chen ◽  
王晓辉 WANG Xiao-hui
Keyword(s):  
Mutation Analysis ◽  
Point Cloud ◽  
Line Extraction ◽  
Feature Line ◽  
Extraction Algorithm

Structural Recognition for Table-Form Documents Using Relaxation Techniques

1998 ◽  
Vol 12 (07) ◽  
pp. 985-1005 ◽  
Author(s):  
Chi-Fang Lin ◽  
Cheng-Yi Hsiao
Keyword(s):  
Relaxation Techniques ◽  
Line Pattern ◽  
Line Segments ◽  
Line Extraction ◽  
Matching Process ◽  
Recognition Phase ◽  
Structure Recognition ◽  
Extraction Algorithm ◽  
Novel Method ◽  
Line Patterns

A novel method is proposed in this study to recognize the line structure of table-form documents, e.g. telephone bills and office documents. The line structures of table-form documents are mainly composed of horizontal and vertical line segments. By treating the segment structure as line patterns, the problem of structure recognition is turned out to be the searching of line pattern matching, which can be solved by adopting the technique of relaxation. The proposed method consists of a learning phase and a recognition phase. In the former phase, line structures of various kinds of table-form documents are taken as templates and are extracted through a line extraction algorithm, in which an unique number functioning as a form ID is assigned to each line pattern. In the latter, by adopting the method of relaxation, the line pattern of the testing document is matched to those patterns created in the previous phase and the form ID of the best matching is chosen as the ID of the testing document. To increase the performance of the proposed method, an algorithm was presented to reduce the number of line segments in the matching process. The experimental results reveal the practicability of the proposed methods.

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