DETERMINING COMPOSITION OF GRAIN MIXTURES BY TEXTURE CLASSIFICATION BASED ON FEATURE DISTRIBUTIONS
- 1 February 1996
- journal article
- Published by World Scientific Pub Co Pte Ltd in International Journal of Pattern Recognition and Artificial Intelligence
- Vol. 10 (1) , 73-82
- https://doi.org/10.1142/s0218001496000074
Abstract
Texture analysis has many areas of potential application in industry. The problem of determining composition of grain mixtures by texture analysis was recently studied by Kjell. He obtained promising results when using all nine Laws' 3 × 3 features simultaneously and an ordinary feature vector classifier. In this paper the performance of texture classification based on feature distributions in this problem is evaluated. The results obtained are compared to those obtained with a feature vector classifier. The use of distributions of gray level differences as texture measures is also considered.Keywords
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