Object detection by two-dimensional linear prediction
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 8, 108-111
- https://doi.org/10.1109/icassp.1983.1172212
Abstract
This paper addresses the problem of detecting small areas of textured images which differ from their immediate surroundings. A significance test is described which adapts itself to the generally changing background statistics so that a constant false alarm rate is maintained. A detection algorithm is derived from the fact that this significance test can be expressed in terms of the error residuals of an adaptive two-dimensional linear predictor whose coefficients are estimated from the background. The algorithm has been successfully demonstrated with both synthetic and real-world images.Keywords
This publication has 2 references indexed in Scilit:
- Object detection by two-dimensional linear predictionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An estimation-theoretic approach to terrain image segmentationComputer Vision, Graphics, and Image Processing, 1983