A Rule Based Approach for Classification of Shades of Basic Colors of Fabric Images
Autor: | Basavaraj S. Anami, Mahantesh C. Elemmi |
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Rok vydání: | 2015 |
Předmět: |
Color histogram
business.industry media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance Rule-based system Pattern recognition Art Standard deviation Red Color Color model Signal Processing RGB color model Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS media_common |
Zdroj: | International Journal of Signal Processing, Image Processing and Pattern Recognition. 8:389-400 |
ISSN: | 2005-4254 |
DOI: | 10.14257/ijsip.2015.8.2.36 |
Popis: | This paper presents a rule based approach to classify the different shades of basic colors of fabric images. The RGB color features are extracted. The mean and standard deviation of shades of red, green and blue colors are computed. A rule base is designed taking into account, the mean and standard deviation values. We have considered ten shades of each of the basic colors. We have got maximum recognition rate of 98% for red color and minimum recognition rate of 97.07% for blue color. The overall recognition rate of 97.64% is obtained. |
Databáze: | OpenAIRE |
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