A New Modified Hough Transform Method for Circle Detection
@inproceedings{Djekoune2013ANM, title={A New Modified Hough Transform Method for Circle Detection}, author={A. Oualid Djekoune and Khadija Messaoudi and Mahmoud Belhocine}, booktitle={IJCCI}, year={2013} }
The Hough transform is a powerful tool in image analysis, e.g. circle detection is a fundamental issue in image processing applications of industrial parts or tools. Because of its drawbacks, various modifications of the basic circle Hough transform (CHT) method have been suggested. This paper presents a modified method based on the basic CHT algorithm and using no trigonometric calculations in order to improve the computational performance of the voting process for a good accuracy and…
12 Citations
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A modified HT called Vector Quantization of Hough Transform (VQHT) is proposed to detect circles more efficiently and a new paradigm to store potential curve parameters is proposed, which can exponentially reduce the storage space for HT algorithm.
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This work presents an improvement on the voting process to detect multiple circles using Hough Transform in order to avoid false positives, and shows that this process leads to a more robust detection, reducing the number of false positive and providing a more accurate detection even with large number of circles.
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An improved Circle Hough Transform is proposed by implementing morphological image processing in the eye’s region of interest to determine the selected iris candidate from the accumulator's threshold of the CircleHough Transform.
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