Apple Sweetness Measurement by image processing technique

Teerach Ittatirut, Akkarote Lekhalawan, Watcharapong Tangjitwattanakorn, C. Pornpanomchai
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引用次数: 1

Abstract

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%.
图像处理技术测量苹果甜度
这篇研究论文开发了一个系统,允许用户通过使用苹果果肉部分的图像来确定苹果的甜度。该系统基于MATLAB开发,主要包括四个模块:1)图像采集,2)图像预处理,3)甜度测定,4)结果测定。本文采用RGB和HSV两种色彩空间作为评判标准。将人工神经网络(ANN)作为确定甜度的主要技术。这种实施的平均结果是甜度为79.03%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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