Classification of fruits using Probabilistic Neural Networks - Improvement using color features
This paper presents a novel approach for the development of an intelligent fruit sorting system using techniques from Digital Image Processing and Artificial Neural Networks. The aim is to develop a fast and effective classification method along with a target of 100% efficiency. Five fruits; i.e., a...
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| Format: | Conference Paper |
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2023
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| author | Mustafa N.B.A. Arumugam K. Ahmed S.K. Sharrif Z.A.Md. |
| author2 | 57191952020 |
| author_facet | 57191952020 Mustafa N.B.A. Arumugam K. Ahmed S.K. Sharrif Z.A.Md. |
| author_sort | Mustafa N.B.A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents a novel approach for the development of an intelligent fruit sorting system using techniques from Digital Image Processing and Artificial Neural Networks. The aim is to develop a fast and effective classification method along with a target of 100% efficiency. Five fruits; i.e., apples, bananas, carrots, mangoes and oranges were analysed and seventeen features were extracted based on the fruits' morphological and colour characteristics. A regular digital camera was used to acquire the images, and all manipulations were performed in a MATLAB/SIMULINK environment. The results obtained were a significant improvement over a previous study. � 2011 IEEE. |
| format | Conference Paper |
| id | my.uniten.dspace-30354 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-303542024-04-18T10:36:46Z Classification of fruits using Probabilistic Neural Networks - Improvement using color features Mustafa N.B.A. Arumugam K. Ahmed S.K. Sharrif Z.A.Md. 57191952020 54977516700 25926812900 6507195893 Colour Recognition Fruit Classification HSI Morphological Feature Analysis PNN RGB Color Feature extraction Image processing Neural networks Classification methods Color features Fruit sorting HSI MATLAB/Simulink environment Morphological features PNN Probabilistic neural networks RGB Fruits This paper presents a novel approach for the development of an intelligent fruit sorting system using techniques from Digital Image Processing and Artificial Neural Networks. The aim is to develop a fast and effective classification method along with a target of 100% efficiency. Five fruits; i.e., apples, bananas, carrots, mangoes and oranges were analysed and seventeen features were extracted based on the fruits' morphological and colour characteristics. A regular digital camera was used to acquire the images, and all manipulations were performed in a MATLAB/SIMULINK environment. The results obtained were a significant improvement over a previous study. � 2011 IEEE. Final 2023-12-29T07:47:00Z 2023-12-29T07:47:00Z 2011 Conference Paper 10.1109/TENCON.2011.6129105 2-s2.0-84856849332 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856849332&doi=10.1109%2fTENCON.2011.6129105&partnerID=40&md5=02bbe27e7a0fcad427202b17a368f4e0 https://irepository.uniten.edu.my/handle/123456789/30354 6129105 264 269 Scopus |
| spellingShingle | Colour Recognition Fruit Classification HSI Morphological Feature Analysis PNN RGB Color Feature extraction Image processing Neural networks Classification methods Color features Fruit sorting HSI MATLAB/Simulink environment Morphological features PNN Probabilistic neural networks RGB Fruits Mustafa N.B.A. Arumugam K. Ahmed S.K. Sharrif Z.A.Md. Classification of fruits using Probabilistic Neural Networks - Improvement using color features |
| title | Classification of fruits using Probabilistic Neural Networks - Improvement using color features |
| title_full | Classification of fruits using Probabilistic Neural Networks - Improvement using color features |
| title_fullStr | Classification of fruits using Probabilistic Neural Networks - Improvement using color features |
| title_full_unstemmed | Classification of fruits using Probabilistic Neural Networks - Improvement using color features |
| title_short | Classification of fruits using Probabilistic Neural Networks - Improvement using color features |
| title_sort | classification of fruits using probabilistic neural networks - improvement using color features |
| topic | Colour Recognition Fruit Classification HSI Morphological Feature Analysis PNN RGB Color Feature extraction Image processing Neural networks Classification methods Color features Fruit sorting HSI MATLAB/Simulink environment Morphological features PNN Probabilistic neural networks RGB Fruits |
| url_provider | http://dspace.uniten.edu.my/ |