Ripeness identification of chayote fruits using HSI and LBP feature extraction with KNN classification
This study aims to build a system to identify the ripeness level of chayote that can be done easily and without damaging the quality of the chayote. This study employs digital image processing technology using Hue Saturation Intensity color feature extraction and texture feature extraction of Local...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Fakultas Ilmu Komputer UMI
2022-08-01
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| Series: | Ilkom Jurnal Ilmiah |
| Subjects: | |
| Online Access: | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1153 |