Texture and Target Orientation Estimation from Phase Congruency

Authors:
Qingbo Yin;Liran Shen;Jong Nam Kim
Affiliations:
Division of Electronic Computer and Telecommunication Engineering, Pukyong National University, Busan, Korea 608-737 and College of Computer Science and Technology, Harbin Engineering University, ...;College of Information and Communication Engineering, Harbin Engineering University, P.R. China;Division of Electronic Computer and Telecommunication Engineering, Pukyong National University, Busan, Korea 608-737
Venue:
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Year:
2008

Citing 4
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Abstract

The problem of orientation estimation is basic to many tasks in machine vision and image processing. A new approach for orientation estimation is proposed based on the phase congruency in radon domain. Here, the image principal direction is defined as the orientation of the image, which has the maximum of phase congruency of variance. The performance of this technique is determined by conducting simulation experiments on two sets of images, containing military targets and textures, respectively.