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An Improved Algorithm for Harris Corner Detection
2009 2nd International Congress on Image and Signal Processing, 2009Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage.
Zhiyong Ye, Yijian Pei, Jihong Shi
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Analysis of Harris corner detection for color images
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016Corner detection algorithm is an algorithm which helps in identifying the corners in an image. Corners are mainly formed by the combination of two or more edges. These corners may or may not define the boundary of an image. Here the method used is Harris corner detection algorithm.
S Padmavathi
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An Improved Corner Detection Algorithm Based on Harris
2018 Chinese Automation Congress (CAC), 2018Aiming at the problems that the traditional Harris corner detection algorithm could extract more flase corner points and computational complexity when performing corner extraction on the image, an improved Harris corner detection algorithm is proposed.
Songqi Han +3 more
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A High-Speed Parallel FPGA Implementation of Harris Corner Detection
2020 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA), 2020Harris corner detection is a common operation in the field of image processing, but suffering from computation complexity in embedded system. The current method of corner detection is to process one pixel in one clock cycle. With the improvement of image acquisition method in modern society, higher processing speed requirements have been proposed for ...
Hongtao Zhou +6 more
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Improved Harris Corner Detection Method Based on Edge
Chinese Journal of Liquid Crystals and Displays, 2013刘博超 LIU Bo-chao +2 more
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Accelerating Harris Algorithm with GPU for Corner Detection
2013 Seventh International Conference on Image and Graphics, 2013Harris algorithm is a corner detection method based on gray scale, which detects corner points by calculating the gradient changes of pixels in horizontal and vertical direction. Due to the usage of Gaussian filtering, Harris algorithm performs well on aspect of robustness, accuracy and stability.
Shuhua Luo, Jun Zhang
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An Adaptive Algorithm for Harris Corner Detection
2009 International Conference on Computational Intelligence and Software Engineering, 2009Corner points are interesting as they are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this paper we discuss the theory of the Harris corner detection and point out its disadvantage.
Zhiyong Ye, Yijian Pei, Jihong Shi
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Detection and measurement of bimalleolar fractures using Harris corner
Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 2012Medical image processing covers a wide spectrum of activities growing vigorously in the last couple of decades. In this paper a method is proposed to detect ankle fractures with the help of wavelet analysis from the X-ray image of the fractured region.
Nilanjan Dey +2 more
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Corner Detection Algorithm with Improved Harris
2015Traditional algorithm of Harris needs to select a parameter for computing interest values of pixels, and its recognition ability for some types of corners is poor. To solve this problem, this paper proposes a corner detection method which is based on local standard deviation and logarithmic computing.
Li Wan, Zhenming Yu, Qiuhui Yang
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