DocumentCode :
2960775
Title :
A novel object recognition method based on improved edge tracing for binary images
Author :
Talu, M. Fatih ; Turkoglu, Ibrahim
Author_Institution :
Dept. of Electron. & Comput. Sci., Firat Univ., Elazig, Turkey
fYear :
2009
fDate :
14-16 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this article, we mention about a novel object recognition method based on an improved edge tracing method for binary images. This method named as ¿NORMBI¿ (novel object recognition method in binary images) contains two subsequent processes, determining places of independent objects (the starting point detection algorithm) and obtaining their edge points and geometrical shapes information (the edge tracing algorithm). The most important difference between NORMBI and traditional methods is to obtain geometrical shapes information and edge points of objects simultaneously by scanning image matrix once. It means to improve speed factor that has a vital important for object recognition. Besides, a tool has been designed to obtain the performance differences in between NORMBI and traditional methods. The mathematical results obtained are represented comparatively in a tabular format.
Keywords :
edge detection; object recognition; NORMBI; binary images; geometrical shape information; image matrix scanning; improved edge tracing method; object recognition method; starting point detection algorithm; Computer science; Detection algorithms; Image edge detection; Image recognition; Informatics; Motion detection; Object detection; Object recognition; Robustness; Shape; Binary image; Edge tracing; Object recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies, 2009. AICT 2009. International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-4244-4739-8
Electronic_ISBN :
978-1-4244-4740-4
Type :
conf
DOI :
10.1109/ICAICT.2009.5372611
Filename :
5372611
Link To Document :
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