DETECTION OF THE CORNER POINTS FROM A MAP

Authors

  • Siti Sarah Raseli Universiti Teknologi MARA, Perlis
  • Norpah Mahat Universiti Teknologi MARA, Perlis
  • Afina Amirhussain Universiti Teknologi MARA, Perlis

DOI:

https://doi.org/10.24191/VoA.v17i2.11921

Keywords:

Corner Detector, FAST, information, Kampung Bukit Kapar

Abstract

The important points in the image that can view the information and features of the image are known as the corner points. The corner points can be detected by using several techniques. The techniques that involve in the detection of corner points are known as corner detector. In this study, a new technique named FAST Corner Detector  is proposed to detect the corner points of Kampung Bukit Kapar map. Detection of corner points accurately is significant to the image processing, which can reduce the noise and much of the calculations. In this study, the initial technique is smoothing the image and extracting the outline of the image. Then, FAST Corner Detector is used to detect the corner points by considering the amount of corner point detection and run time processing.

References

Albert,F., Fernandez-Pacheco,D.G.,&Aleixos, N.(2013).New Method to Find Corner and Tangent Vertices in Sketches using Parametric Cubic Curves Approximation.Pattern Recognition,46(5),1433-1448

Chen,S., Meng, H., Zhang, C.,&Liu,C.(2016).A KD Curvature Based Corner Detector. Neurocomputing,173, 434-441.

Dey, N., Nandi, P., Barman, N., Das, D., & Chakraborty, S. (2012). A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique. International Journal of Engineering Research and Applications, 2(1), 599–606.

Kopparapu, S., & Satish, M. (2014). Optimal Gaussian Filter for Effective Noise Filtering, (2), 1–7. Retrieved from http://arxiv.org/abs/1406.3172

Haggui, O., Tadonki, C., Lacassagne, L., Sayadi, F., & Ouni, B. (2018). Harris corner detection on a NUMA manycore. Future Generation Computer Systems, 88, 442–452. https://doi.org/10.1016/j.future.2018.01.048

Pedrosa, G. V., & Barcelos, C. A. Z. (2010). Anisotropic diffusion for effective shape corner point detection. Pattern Recognition Letters, 31(12), 1658–1664.

Srisha, R., & Khan, A. M. (2013). Morphological Operations for Image Processing : Understanding and its Applications Morphological Operations for Image Processing : Understanding and its Applications. NCVSComs-13, (February 2015), 17–19.

Raseli, S. S., & Ali, J. (2012). Boundary Extraction of 2D Image, 2(5), 5374–5376. https://www.researchgate.net/publication/294426522_boundary_extraction_of_2D_image

Rosten,E.,Drummond,T.,(2006), Machine learning for high speed corner detection. 9th Euproean Conference on Computer Vision(1), 430-443

Mohsin, M. (2018). Info Bukit Kapar. https: http://infobukitkapar.blogspot.com/p/pelan sempadan.html

Saxena, S., Sharma, S. and Sharma, N., (2016). Parallel image processing techniques, benefits and limitations. Research Journal of Applied Sciences, Engineering and Technology, 12(2), pp.223-238.

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Published

2026-05-19

Issue

Section

Articles

How to Cite

Raseli, S. S., Mahat, N., & Amirhussain, A. (2026). DETECTION OF THE CORNER POINTS FROM A MAP. Voice of Academia, 17(2), 158-163. https://doi.org/10.24191/VoA.v17i2.11921