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Image Processing for Classifying the Quality of the Chok-Anan Mango by Simulating the Human Vision using Deep Learning |
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| รหัสดีโอไอ | |
| Creator | Nopparut Pattansarn |
| Title | Image Processing for Classifying the Quality of the Chok-Anan Mango by Simulating the Human Vision using Deep Learning |
| Contributor | Nattavut Sriwiboon |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2563 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 10 |
| Journal No. | 1 |
| Page no. | 24-29 |
| Keyword | Image Processing, Deep Learning, Chok-Anan Mango, Convolutional Neural-Network |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | This paper uses image processing technology with the deep learning methods,which can simulate the human vision to develop a model for examining and classifying thequality of the Chok-Anan mango. The research method, we have collect the image of ChokAnan mangos and collecting quality classification data, determining quality levels into 4 levelsconsisting of grade A, B, C and grade D are rotten mangos. The results of the research shownthat the use of deep learning by the convolutional neural network (CNN) algorithm for imageprocessing to create a model showing the excellent accuracy at 99.79%. Then, we use the modelto develop as a prototype for image classifying of Chok-Anan mangos. The result has found thatthe success rate of classification at 100%. |
