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Multi-spectral Texture Segmentation Based on the Spectral Cooccurrence Matrix

✍ Scribed by M. Hauta-Kasari; J. Parkkinen; T. Jaaskelainen; R. Lenz

Book ID
106256549
Publisher
Springer-Verlag
Year
1999
Tongue
English
Weight
502 KB
Volume
2
Category
Article
ISSN
1433-7541

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The variance, sum average, sum variance and sum entropy of co-occurrence matrix were the most signi"cant texture features (probability, P(0)0005) to identify unwholesome poultry carcasses at visible and near-infrared wavelengths. When a direction of co-occurrence matrix equals to 03, the contrast va