Energy Efficient Adaptive Clustering for Heterogeneous Sensor Networks with power control

This paper presents the study on identification and classification of food grains using different color models such as L*a*b, HSV, HSI and YCbCr by combining color and texture features without performing preprocessing. The K-NN and minimum distance classifier are used to identify and classify the di...

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Veröffentlicht in:	International journal on computer science and engineering 2011-12, Vol.3 (12), p.3814-3814
Hauptverfasser:	Sudarmani, R, Kumar, K R Shankar
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Color Computation Foods Grains Mathematical models Surface layer Texture
Online-Zugang:	Volltext
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