DocumentCode :
134106
Title :
Evaluation of canny and sobel operator for logo edge detection
Author :
Beeran Kutty, Suhaili ; Saaidin, Shuria ; Megat Yunus, Puteri Nor Ashikin ; Abu Hassan, Suhana
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
fYear :
2014
fDate :
27-29 May 2014
Firstpage :
153
Lastpage :
156
Abstract :
This study is to compare how Canny and Sobel Operators can be used as edge detection technique for various logo images. The main process involved Sobel and Canny edge detection techniques using captured logo images and logo images from internet. The images manipulated by median filtering to remove noise and Otsu´s method is used to determine threshold value. The result shows that both operators have their own advantages and disadvantages to be used as edge detection aid for logo images.
Keywords :
edge detection; image denoising; image segmentation; median filters; Canny edge detection techniques; Canny operator; Otsus method; Sobel detection techniques; Sobel operator; image threshold value determination; logo edge detection; median filtering; noise removal; Companies; Convolution; Electrical engineering; Filtering; Image edge detection; Internet; Noise; Otsu method; Sobel; canny; edge detection; image processing; logo;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management and Emerging Technologies (ISTMET), 2014 International Symposium on
Conference_Location :
Bandung
Print_ISBN :
978-1-4799-3703-5
Type :
conf
DOI :
10.1109/ISTMET.2014.6936497
Filename :
6936497
Link To Document :
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