Estimation of volume and maturity of sweet lime fruit using image processing algorithm

P. Gokul, Shoraya Raj, Poornapushpakala Suriyamoorthi
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引用次数: 20

Abstract

The assessment of fruit quality is important for the cultivator and the consumer. The paper describes the image processing technique to estimate the volume and maturity of sweet lime. Spherical shape fruit is only considered for this analysis. The image is captured using a high resolution digital camera and cell phone. An algorithm is developed in MATLAB for finding the volume and maturity of the sweet lime. Volume of the fruit is computed by estimating the radius of the image. Maturity is determined with the RGB color coding based on RG ratio. The results are validated experimentally by measurement using Vernier Calipers.
利用图像处理算法估计甜酸橙果实的体积和成熟度
水果品质评价对栽培者和消费者都具有重要意义。本文介绍了甜石灰体积和成熟度的图像处理技术。这种分析只考虑球形水果。图像是用高分辨率数码相机和手机拍摄的。在MATLAB中开发了一种求得甜石灰体积和成熟度的算法。通过估计图像的半径来计算水果的体积。成熟度由基于RG比例的RGB颜色编码确定。用游标卡尺进行了实验验证。
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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