Noise estimation and adaptive filtering during visual tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of non-overlapping homogeneous regions. This paper describes a new segmentation procedure which is designed to segment images corrupted by correlated noise. This procedure is based on Rissanen's (1989) minimum description length principle.