Skin Color Segmentation in RGB Color Space by Adaptive Network Based Fuzzy Inference System (ANFIS)
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| Format: | Artículo científico |
| Language: | en |
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Universidade Federal de Santa Maria
2015
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| _version_ | 1876478555900084224 |
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| author | Mohammad Hussein Fakhravari |
| author_facet | Mohammad Hussein Fakhravari |
| contents | Skin Color Segmentation in RGB Color Space by Adaptive Network Based Fuzzy Inference System (ANFIS) Mohammad Hussein Fakhravari Marzieh Dadvar Estudios Ambientales Fuzzy C Skin Detection Adaptive Network Fuzzy Neural Network Mean (FCM) Cluster ing Skin color detection is a popula r and useful technique because of the wide range of application in both human computer interactions and analyses based on diagnostic. Therefore, providing an appropriate method for pixel - like skin parts can solve many problems. The presented color segmenta tion algorithm works directly in RGB color space without having to convert the color space. Using Genfis3 function, we formed the Sugeno fuzzy network and clustered the data using fuzzy C - Mean (FCM) clustering rule and for each class and cluster we conside red a Rule. In the next step, the output resulting from pseudo - polynomial data mapping is provided as the input to Adaptive Network Based Fuzzy Inference System (ANFIS). 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683034 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37 |
| format | Artículo científico |
| id | redalyc_467547683034 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidade Federal de Santa Maria |
| spellingShingle | Skin Color Segmentation in RGB Color Space by Adaptive Network Based Fuzzy Inference System (ANFIS) Mohammad Hussein Fakhravari Estudios Ambientales Fuzzy C Skin Detection Adaptive Network Fuzzy Neural Network Mean (FCM) Cluster ing Skin Color Segmentation in RGB Color Space by Adaptive Network Based Fuzzy Inference System (ANFIS) Mohammad Hussein Fakhravari Marzieh Dadvar Estudios Ambientales Fuzzy C Skin Detection Adaptive Network Fuzzy Neural Network Mean (FCM) Cluster ing Skin color detection is a popula r and useful technique because of the wide range of application in both human computer interactions and analyses based on diagnostic. Therefore, providing an appropriate method for pixel - like skin parts can solve many problems. The presented color segmenta tion algorithm works directly in RGB color space without having to convert the color space. Using Genfis3 function, we formed the Sugeno fuzzy network and clustered the data using fuzzy C - Mean (FCM) clustering rule and for each class and cluster we conside red a Rule. In the next step, the output resulting from pseudo - polynomial data mapping is provided as the input to Adaptive Network Based Fuzzy Inference System (ANFIS). 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683034 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37 |
| title | Skin Color Segmentation in RGB Color Space by Adaptive Network Based Fuzzy Inference System (ANFIS) |
| topic | Estudios Ambientales Fuzzy C Skin Detection Adaptive Network Fuzzy Neural Network Mean (FCM) Cluster ing |
| url | https://www.redalyc.org/articulo.oa?id=467547683034 |