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Optimized Adaptive Thresholding based Edge Detection Method for MRI Brain Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 20 |
| Year of Publication: 2012 |
| Authors: S. Jansi, P. Subashini |
10.5120/8155-1525
|
S. Jansi, P. Subashini . Optimized Adaptive Thresholding based Edge Detection Method for MRI Brain Images. International Journal of Computer Applications. 51, 20 ( August 2012), 1-8. DOI=10.5120/8155-1525
Abstract
Edge detection is one of the fundamental tool in image processing, machine vision and computer vision, which aim at identifying points in a digital image. It is an important tool for medical image segmentation and 3D reconstruction. Generally, edge has detected according to some early brought forward algorithms such as gradient-based algorithm and template-based algorithm, but they are not so good for noisy medical image edge detection. In order to overcome this problem, adaptive threshold using ACO has proposed. Ant colony optimization technique is used for computing an optimal threshold value used by adaptive threshold for edge detection. The various edge detection algorithms are compared with the proposed algorithm and their performance are evaluated using the evaluation metrics. From the experimental results, the proposed algorithm was better than the adaptive threshold method.
References
- Gholamali Rezai-Rad, Majid Aghababaie,"Comparison of SUSAN and Sobel Edge Detection in MRI Images for Feature Extraction", IEEE transaction on Information and Communication Technologies, volume1, October 2006, Pages 1103 - 1107.
- Anna Veronica Baterina, Carlos Oppus,"Image Edge Detection using ACO", WSEAS transaction on Signal Processing, Volume6, Issue2, 2010, Pages: 2-5.
- Rutger Claes, Tom Holvoet, "Ant Colony Optimization applied to Route Planning using Link Travel predictions", IEEE International Parallel & Distributed Processing Symposium, May 2011, Pages 353-360.
- Taghizadeh, M. ; Hajipoor, M. ,"Hybrid Algorithm for Segmentation of MRI Images Based on Edge Detection", IEEE transactions on Soft Computing and Pattern Recognition, Dec2011, Pages 107 - 111.
- Moslem Taghizadeh, Mohammad Reza Mahzoun, "Bidirectional Image Thresholding algorithm using combined Edge Detection and P-Tile algorithms", The Journal of Mathematics and Computer Science, Volume2, 2011, Pages 255-261.
- Guennadi (Henry) Levkine,"Prewitt, Sobel and Scharr gradient 5x5 convolution matrices", Image Processing Articles, Second draft, June 2012.
- Harelimana Joyeuse, et. al, "Implementation of Edge Detection for a Digital Image", KIST-AO Electronics and telecommunication engineering 2008.
- Vishwadeep Garg et. al. ," Image Texture Enhancement through an Improved Grunwald-Letnikov Fractional Differential Mask, International Journal of Advanced Computer Science and Applications, Vol. 3, No. 3, Dec2011.
- Sharifi, M. ; Fathy, M. ; Mahmoudi, M. T. ,"A Classified and Comparative Study of Edge Detection Algorithms", IEEE, International conference on Information Technology: Coding and Computing, 2002, Pages 117 - 120.
- Raman Maini, Himanshu Aggarwal,"Study and Comparison of various image edge detection techniques", International Journal of Image Processing (IJIP), Volume (3) : Issue (1), 2009.
- Mamta Juneja, Parvinder Singh Sandhu, "Performance Evaluation of Edge Detection Techniques for Images in Spatial Domain", International Journal of Computer Theory and Engineering, Vol1, Dec 2009.
- http://homepages. inf. ed. ac. uk/rbf/HIPR2/log. htm
- Senthil Kumar N. Rajesh R. , "Edge Detection techniques for Image Segmentation - A Survey of Soft Computing Approaches", International Journal of Recent Trends in Engineering, Vol. 1, May 2009.
- Yang Chao,"A comparison of medical image analysis algorithms for edge detection", Bachelor Thesis, June2010.
- Salem Saleh Al-amri, Kalyankar and Khamitkar S. D,"Image Segmentation by using edge detection", International Journal on Computer Science and Engineering, Volume2, 2010, Pages: 804-807.
- www. cee. hw. ac. uk/roberts edge detector.
- Tarek A. Mahmoud, Stephen Marshall, "Medical Image Enhancement Using Threshold Decomposition Driven Adaptive Morphological Filter", 16th European Signal Processing Conference (EUSIPCO 2008), EURASIP, 2008.
- P. Subashini, M. Krishnaveni, Suresh Kumar Thakur, "Quantitative Performance Evaluation on Segmentation Methods for SAR ship images", Proceedings of the Third Annual ACM Bangalore Conference, 2010.
- Shapiro, Linda G. & Stockman, George C. (2002). "Computer Vision". Prentice Hall. ISBN 0-13-030796-3
- http://homepages. inf. ed. ac. uk/rbf/HIPR2/roberts. htm
- SenthilKumaran and Rajesh, "Brain Image Segmentation", International Journal of wisdom based computing, vol1 (3), Dec2011.
- Jian Zhang, Kun He, et. al, "An Ant Colony Optimization Algorithm for Image Edge Detection", International Conference on Artificial Intelligence and Computational Intelligence, AICI (2010).
- Javad Rahebi et al. , "Biomedical Image Edge Detection using an ACO Based on Artificial Neural Networks", International Journal of Engineering Science and Technology (IJEST), 2011.
- Vittorio Maniezzo, Luca Maria Gambardella,"Ant Colony Optimization, 2004.
- Manisha Kaushal, Arjan Singh , Baljit Singh, "Adaptive Thresholding for Edge Detection in Gray Scale images", International Journal of Engineering Science and Technology, Volume2(6), 2010, Pages2077-2082.
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