A new edge detection method using Gaussian-Zemike moment operator

Authors:
Xin Li;Aiguo Song
Affiliations:
Remote Measurement and Control Key Lab of Jiangsu Province, School of Instrument Science and Engineering, Southeast University, Nanjing, China;Remote Measurement and Control Key Lab of Jiangsu Province, School of Instrument Science and Engineering, Southeast University, Nanjing, China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
Year:
2010

Citing 2
Cited 1

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Subpixel Measurements Using a Moment-Based Edge Operator

IEEE Transactions on Pattern Analysis and Machine Intelligence

Classification of benign and malignant masses based on Zernike moments

Computers in Biology and Medicine

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Abstract

In this paper, a new edge detection approach combining Zernike moment operator with Gaussian operator is proposed. This detection consists of two steps: Firstly, Gaussian is used to smooth the image; Secondly, Zernike operator is used to locate the edge. In the second step, only one mask is used to calculate the edge. In this way, the computational complexity of the new approach is one-third less than that of the former one which uses Zernike moments operator. The test result shows that this method possesses good detection precision and relative shorter run time.