DocumentCode
2154289
Title
Location of 2-Dim code in image by corner detection
Author
Wang, Ping ; Hou, Jinyi
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear
2010
fDate
11-14 July 2010
Firstpage
90
Lastpage
94
Abstract
We report on the development and implementation of a robust algorithm for extracting 2-Dim code Area in video images. The algorithm concludes two main steps, firstly, convert the RGB images into gray-scale images and location the point of max local radio in the gray image. These points are so-called corner points. Secondly we used the points to clustering and the results of the clustering can be used to find one area that conform the shape of a 2-Dim code area. The experiment results shows that 2-Dim code area in the 2-Dim code images with rectangle or circle element, bad contrast in illumination or with adjacent noise in the image could be find correctly.
Keywords
feature extraction; image colour analysis; object detection; video signal processing; 2-Dim code area; RGB images; adjacent noise; corner detection; gray image; gray-scale images; max local radio; video images; Algorithm design and analysis; Clustering algorithms; Concrete; Image edge detection; Pattern recognition; Shape; Wavelet analysis; 2-Dim code Area; Corner detection; Distance clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6530-9
Type
conf
DOI
10.1109/ICWAPR.2010.5576430
Filename
5576430
Link To Document