Apple Sweetness Measurement By Image Processing Technique

被引：0

作者：

Ittatirut, Teerach ^{[1
]}

Lekhalawan, Akkarote ^{[1
]}

Tangjitwattanakom, Watcharapong ^{[1
]}

Pornpanomchai, Chomtip ^{[1
]}

机构：

[1] Mahidol Univ, Fac Informat & Commun Technol, Nakhon Pathom 73170, Thailand

来源：

2016 FIFTH ICT INTERNATIONAL STUDENT PROJECT CONFERENCE (ICT-ISPC) | 2016年

关键词：

apple sweetness; apple sweetness determination; artificial neural network; image processing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This research paper developed a system which allows users to determine the sweetness level of apples by using an image of the flesh part of the apple. The system, developed based with MATLAB, consists of four main modules, namely 1) Image Acquisition, 2) Image Preprocessing, 3) Sweetness Determination, and 4) Result Determination. Two color spaces are utilized as the judging criteria of this paper, which are RGB and HSV color spaces. An Artificial Neural Network (ANN) is used as the main technique of sweetness determination. The average result of this implementation is a sweetness level of 79.03%.

引用

页码：182 / 185

页数：4

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