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Dynamic Thresholding based Adaptive Canny Edge Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 135 - Number 4 |
| Year of Publication: 2016 |
| Authors: Ferdous Hossain, Mina Asaduzzaman, Mohammad Abu Yousuf, Md. Armanur Rahman |
10.5120/ijca2016908337
|
Ferdous Hossain, Mina Asaduzzaman, Mohammad Abu Yousuf, Md. Armanur Rahman . Dynamic Thresholding based Adaptive Canny Edge Detection. International Journal of Computer Applications. 135, 4 ( February 2016), 37-41. DOI=10.5120/ijca2016908337
Abstract
In this paper, a method for adaptive Canny edge detection algorithm is proposed. Adaptive Canny algorithm is used to increase the accuracy of output objects. In traditional Canny need to set two threshold values manually, so there are some defects to different images but this paper puts faorward an adaptive threshold values based on mean and median values. Our proposed adaptive Canny edge detection method can detect edges successfully which is divided into several steps. First, Gaussian filter is used to smooth and remove noise. Second, gradient magnitude is computed. Third, non-maximum suppression is applied in which the algorithm removes pixels that are not part of an edge. Finally, hysteresis thresholding is applied which uses two threshold values, upper and lower. A pixel will be marked as an edge if it’s gradient lies in between of lower and upper threshold values. A pixel will be discarded if it’s gradient below the lower or beyond the upper threshold values. Eventually, the pixels gradient is between the two threshold values will be connected as marked edge. The experimental results show the efficacy of the proposed method.
References
- Sohag Kabir and A S M Ashraful Alam.2014.“Hardware Design and Simulation of Sobel Edge Detection Algorithm”. Image, Graphics and Signal Processing, 5, 10-18.
- Mr. Manoj K.Vairalkar and Prof. S.U.Nimbhorkar.2012 . “Edge Detection of Images Using Sobel Operator”. International Journal of Emerging Technology and Advanced Engineering ,ISSN 2250-2459, Volume 2, Issue 1
- O.R. Vincent and O. Folorunso. 2009. A Descriptive Algorithm for Sobel Image Edge Detection.Proceedings of Informing Science & IT Education Conference (InSITE).
- T.Rupalatha1,Mr.C.Leelamohan2,Mrs.M.Sreelakshmi3.2013.”IMPLEMENTATION OF DISTRIBUTED CANNY EDGE DETECTOR ON FPGA” International Journal of Innovative Research in Science, Engineering and Technology Vol. 3, Issue5,
- T.Rupalatha1,G.Rajesh2,K.Nandakumar3.2013.“Implementation of Distributed Canny Edge Detector on FPGA “ International Journal of Computer Engineering Science (IJCES) Volume 3 Issue 5 (May 2013 Vol. 2, Issue7,
- Yuan-Kai Huo, Gen Wei, Yu-Dong Zhang and Le-Nan Wu. 2010. “An Adaptive Threshold for the Canny Operatorof Edge Detection”. IEEE 978-1-4244-5555-3/10/$26.00
- Ping ZHOU1 ,Wenjun YE1, Yaojie XIA1, Qi WANG2. 2011. “An Improved Canny Algorithm for Edge Detection”. Journal of Computational Information Systems
- Y.L.Zhang and L.Yan.2009. “Edge Detection Base on Adaptive Canny Method ”. M.Sc. thesis, Norstwest University, Xi’an , China, Jun
- Koba Natroshvili, Ayyappan Mani .2013.“EDGE DETECTION WITH ADAPTIVE THRESHOLD ,” US 8,391,612 B2.
- Ferdous Hossain, Mithun Kumar P.K., Mohammad Abu Yousuf. 2015. “Hardware Design and Implementation of Adaptive Canny Edge Detection Algorithm International Journal of Computer Applications, Vol. 124, No. 9
- Mohammad Motiur Rahman. Mithun Kumar PK and Mohammad Shorif Uddin.2014. “Optimum Threshold Parameter Estimation of Wavelet Coefficients Using Fisher Discriminant Analysis for Speckle Noise Reduction,” The International Arab Journal of Information Technology, Vol. 11, No. 6
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