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Improvement of Harris Algorithm Based on Gaussian Scale Space | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 37, 1B, 2019, Pages 1-5 PDF (519.86 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.37.1B.1 | ||
| Authors | ||
| Abdul Amir A. Karim; Rafal A. Sameer | ||
| Department of Computer Science, University of Technology, Baghdad - Iraq | ||
| Abstract | ||
| Features is the description of the image contents which could be corner, blob or edge. Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc. Harris is a method for corner detection and it is an efficient and accurate feature detection method. Harris corner detection is rotation invariant but it isn’t scale invariant. This paper presents an efficient harris corner detector invariant to scale, this improvement done by using gaussian function with different scales. The experimental results illustrate that it is very useful to use Gaussian linear equation to deal with harris weakness. | ||
| Keywords | ||
| Difference of Gaussian; Harris corner detection | ||
| References | ||
|
[1] S.E. Umbaugh, “Digital Image Processing and Analysis,” CRC Press, 2nd ed, New York, 2011. [2] W. Peng, X. Hongling, L. Wenlin, and S. Wenlong, “Harris Scale Invariant Corner Detection Algorithm Based on the Significant Region,” International Journal of Signal Processing, Vol. 9, No. 3, pp. 413-420, 2016. [3] P. Azad, T. Asfour, and R. Dillmann, “Combining Harris Interest Points and the SIFT Descriptor for Fast Scale-Invariant Object Recognition,” IEEE/RSJ International Conference on Intelligent Robots and Systems, USA, October 2009. [4] T. Tuytelaars, and K. Mikolajczyk, “Local Invariant Feature Detectors: A Survey,” Foundations and Trends in Computer Graphics and Vision, Vol. 3, No. 3, pp. 177-280, 2008. [5] Y. Yu, K. Huang, and T. Tan, “A Harris-like Scale Invariant Feature Detector,” National Laboratory of Pattern Recognition, Asian Conference on Computer Vision, Vol. 5995. Springer, Berlin, Heidelberg, pp. 586-595, 2009. [6] Y. Wang, Y. Chen, J. Li, and B. Li, “The Harris Corner Detection Method Based on Three Scale Invariance Spaces,” IJCSI International Journal of Computer Science, Vol. 9, No. 2, pp. 18-22, November 2012. [7] Mahesh, and M.V. Subramanyam, “Invariant Corner Detection Using Steerable Filters and Harris Algorithm,” Signal & Image Processing An International Journal, Vol. 3, No. 5, pp. 111-118, October 2012. [8] A. Verma, and A. Mishra, “Image Compression using Gaussian Smoothing Filter and Median Filter,” International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 3, No. 11, pp. 6344-6347, November 2015. [9] R. Klette. “Concise Computer Vision,” SpringerVerlag, London, 2014. [10] A.A. Kareem, S.S. Abood, “Real-Time Panoramic Video Construction Using Harris Corners Detector,” Engineering and Technology Journal, vol. 33, No. 1, pp. 127-140, 2015. [11] A.A. Karim, E.F. Nasser, “Improvement of Corner Detection Algorithms (Harris, FAST and SUSAN) Based on Reduction of Features Space and Complexity Time,” Vol. 35, No. 2, pp. 112-118, 2017. [12] S. Prabha, “Feature Extraction Using Harris Algorithm,” International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com, Vol. 2, No.9, pp. 226-228, September 2012. | ||
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