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K. Deguchi, Department of Mathematical Engineering and Instrumentation Physics, Faculty of Engineering, University of Tokyo
A new approach to texture characterization and texture-based image partitioning is presented. In this approach the gray level of each pixel of an image is estimated from a weighted sum of gray levels of its neighbor pixels. The weight coefficients are determined so that the mean square estimation error is minimized. The obtained two-dimensional estimator characterizes the texture of the sample and can be used to discriminate other classes of textures. This texture characterization technique is applied to image partitioning, and two partitioning procedures are developed. Experimental results obtained by their application are also shown.
Index Terms:
two-dimensional linear estimation, Image processing, region growing, texture-based image partitioning, texture characterization
Citation:
K. Deguchi, I. Morishita, "Texture Characterization and Texture-Based Image Partitioning Using Two-Dimensional Linear Estimation Techniques," IEEE Transactions on Computers, vol. 27, no. 8, pp. 739-745, Aug. 1978, doi:10.1109/TC.1978.1675181
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