NDLI: Hardware Implementation of Hough Transform for Circle Detection

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Hardware Implementation of Hough Transform for Circle Detection

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Hardware Implementation of Hough Transform for Circle Detection

Content Provider	ACM Digital Library
Author	Veni, S. Sarika, K.
Abstract	Hough transform is a feature extraction technique used in image analysis, digital image processing and computer vision. To extract features from digital images, it is useful to be able to find arbitrary shapes like straight lines, circles, ellipses etc in the images. In order to achieve this goal, one must be able to detect a group of pixels that are on a required curve. Most of the elements are geometrically circular in shape and detecting circular shapes is an important task in image processing which is a preprocessing step before image analysis. Detection of circles using Hough Transform is most useful technique in the applications like iris detection, satellite imaginary, medical image processing, satellite imaging, Hyper spectral image processing etc., Hardware implementation of the Circular Hough Transform (CHT) is essential for real time applications. In this paper, the Hardware implementation of CHT using CORDIC algorithm is proposed which has not been addressed yet. The CORDIC algorithm reduces computational complexity by replacing exhaustive arithmetic operations with adders and shifters which is evident from the results obtained from this work.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781450329088
DOI	10.1145/2660859.2660958
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Circular hough transform (cht) Cordic algorithm Hardware implementation Sobel edge detector
Content Type	Text
Resource Type	Article

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