Abstract
n order to extract the region of an object from an image, the difference image method is attractive since it is computationally inexpensive. However, the difference image is not frequently used due to the noise in the difference image. In this paper, we analyze the noise in an uncalibrated difference image and propose a statistical noise calibration method. In the experiment, the proposed method is verified using a real image. © Springer-Verlag 2004.
Cite
CITATION STYLE
Park, J., & Lee, K. H. (2004). A Novel Noise Modeling for Object Detection Using Uncalibrated Difference Image. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 1208–1215. https://doi.org/10.1007/978-3-540-30497-5_185
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