Detecting image points of general imbalance

Authors:
Qi Li;Dacheng Tao
Affiliations:
Dept. of Math. and CS, Western Kentucky University;School of Computer Engineering, Nanyang Technological University, Singapore
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Imbalance oriented selection scheme was recently proposed to detect stable image points in weakly or sparsely textured images. The scheme chooses image points whose one-pixelwide directional intensity variations can be clustered into two imbalanced classes as candidates. In this paper, we propose general imbalance decided by multi-pixel-wide directional intensity variations. We present a case study of general imbalanced points in road sign images, which demonstrates the good potential of general imbalanced points.