Mansur As, Baharuddin, Siti Subaedah, Andi Bahar, Ismail Parewai
This study aims to provide an accurate model of image processing techniques for inspecting and classifying fruit quality. A Computer Vision System (visible and invisible channels) was proposed to analyze the external texture. We first identified and analyzed the characteristics of the external texture of snake fruit using the Grey Level Co-occurrence Matrix (GLCM) method and ImageJ tool. Then, the grade quality will be classified using Random Forest (RF) methods. This study showed that the Computer Vision system is helpful for the assessment and classification of the snake fruit quality. The experiment also indicates that the combination of the visible and invisible channels has the potential in fruit inspection models in image processing techniques since the hidden texture features are not clearly visible to the human eye. © 2025 Author(s).
Universitas Negeri Medan, Medan, Indonesia; Kyushu Institute of Technology, Kitakyushu, Japan
