Corner Point Detection for The Map of Kariah Kg. Bukit Kapar
Corner point detection are the important technique for many image processing applications including image enhancement, object detection and pattern recognition. The purpose of this study is to detect the corner points of a map of Kariah Kampung Bukit Kapar image by using Harris Corner Detector. Corner points in an image represents a lot of important information of the image. Detection of corner points accurately is significant to image processing, which can reduce much of the calculations. In this study, the initial technique is smoothing the image and extract the boundary of the image. Then, Harris Corner Detector is used to detect the corner points by considering the amount of corner point detection and run time processing. This study proposed the Harris Corner Detector which can detect 154 points with 12.9552 second.
 O. Haggui, C. Tadonki, L. Lacassagne, F. Sayadi, and B. Ouni, “Harris corner detection on a NUMA manycore,” Futur. Gener. Comput. Syst., vol. 88, pp. 442–452, 2018.
 S. Chen, H. Meng, C. Zhang, and C. Liu, “A KD curvature based corner detector,” Neurocomputing, vol. 173, pp. 434–441, 2016.
 P. Gifani, F. Haddadi, and Z. A. Sani, "Echocardiography noisereduction using sparse representation," Computers and Electrical Engineering, vol.53, pp. 301–318, 2016.
 J. Yu, J. Tan, and Y. Wang, "Ultrasound speckle reduction by a SUSAN-controlanisotropic diffusion method," Pattern Recognition," vol. 43(9), pp. 3083–3092, 2010.
 C. Gao, H. Zhu, and Y. Guo, "Analysis and improvement of SUSAN algorithm," Signal Processing, vol. 92(10), pp. 2552–2559, 2012.
 K. V. Thakur, O. H. Damodare, and A. M., Sapkal, "Poisson Noise Reducing Bilateral Filter," Procedia Computer Science, 2016.
 S. S. Raseli, and J. Ali, "Boundary Extraction of 2D Image," Journal of Basic and Applied Scientific Research, vol. 2(5), pp. 5374–5376, 2012.
 R. Srisha, and A. M. Khan, "Morphological Operations for Image Processing : Understanding and its Applications Morphological Operations for Image Processing : Understanding and its Applications," NCVSComs-13, pp. 17–19, 2013.
 R. Krishnamoorthi, and G. Annapoorani, "A simple boundary extraction technique form mirregular pupil localization with orthogonal polynomials," Computer Vision and Image Understanding, vol. 116(2), pp. 262–273, 2012.
 S. Xie, Y. He, P. Pan, J. Sun, and S. Naoi, "Book inner boundary extraction with modified active shape model," Pattern Recognition Letters, vol. 45, pp. 121–128, 2014.
 G. V. Pedrosa, and C. A. Z. Barcelos, "Anisotropic diffusion for effective shape corner point detection. Pattern Recognition Letters," vol. 31(12), pp. 1658–1664, 2010.
 B. Gui, R. Shuai, P. Chen, R. Shuai, and P. Chen, "Optic disc localization algorithm based on improved corner Optic disc localization algorithm based on improved corner detection detection," Procedia Computer Science, vol. 131, pp. 311–319, 2018.
 F. Albert, D. G. Fernández-Pacheco, and N. Aleixos, "New method to find corner and tangent vertices in sketches using parametric cubic curves approximation," Pattern Recognition, vol. 46(5), pp. 1433–1448, 2013.
 L. Sroba, R. Ravas, and J. Grman, "The influence of subpixel corner detection to determine the camera displacement," Procedia Engineering, vol. 100(January), pp. 834–840, 2015.