Texture Characterization and Texture-Based Image Partitioning Using Two-Dimensional Linear Estimation Techniques

Authors:
K. Deguchi;I. Morishita
Affiliations:
Department of Mathematical Engineering and Instrumentation Physics, Faculty of Engineering, University of Tokyo;-
Venue:
IEEE Transactions on Computers
Year:
1978

Citing 0
Cited 2

A Genetic Algorithm Based Method to Improve Image Segmentation

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Fractal-based description

IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	14.98

Visualization

Abstract

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.