Adaptive scale fixing for multiscale texture segmentation
UNSPECIFIED. (2006) Adaptive scale fixing for multiscale texture segmentation. IEEE TRANSACTIONS ON IMAGE PROCESSING, 15 (1). pp. 249-256. ISSN 1057-7149Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/TIP.2005.860340
This paper addresses two challenging issues in unsupervised multiscale texture segmentation: determining adequate spatial and feature resolutions for different regions of the image, and utilizing information across different scales/resolutions. The center of a homogeneous texture is analyzed using coarse spatial resolution, and its border is detected using fine spatial resolution so as to locate the boundary accurately. The extraction of texture features is achieved via a multiresolution pyramid. The feature values are integrated across scales/resolutions adaptively. The number of textures is determined automatically using the variance ratio criterion. Experimental results on synthetic and real images demonstrate the improvement in performance of the proposed multiscale scheme over single scale approaches.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|Journal or Publication Title:||IEEE TRANSACTIONS ON IMAGE PROCESSING|
|Publisher:||IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC|
|Number of Pages:||8|
|Page Range:||pp. 249-256|
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