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Estimation of size and shape of citrus fruits using image processing for automatic grading

机译:使用图像处理自动分级来估计柑橘类水果的大小和形状

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Size is one of the important parameters in grading of fruits. Also quantifying the fruit's shape gives value addition to the fruits. This paper describes analytical methods to estimate the size and shape of citrus fruits to grade them based on single view fruit images. Sweet-lime and orange fruits are taken for case study of size and shape determination respectively. The size of the sweet-lime fruits were estimated and graded into three categories using simple methods like radius signature method, area method and perimeter method. Also the existing method based on Light Detection and Ranging (LIDAR) sensor for citrus fruits size determination was improved through a method employing image processing. The shapes of the orange fruits were estimated using Heuristic Shape separator method and shape numbers were obtained for varying shaped orange fruits. The results were found to be reasonably in good agreement with the human assessment.
机译:大小是水果分级的重要参数之一。同样,对水果的形状进行定量可以使水果增值。本文介绍了分析方法来估计柑橘类水果的大小和形状,并基于单视图水果图像对其进行分级。分别以甜石灰和橙色水果进行大小和形状确定的案例研究。利用半径签名法,面积法和周长法等简单方法,估计了甜石灰果实的大小,并将其分为三类。此外,通过采用图像处理的方法,改进了基于光检测和测距(LIDAR)传感器的柑橘类水果尺寸确定方法。使用启发式形状分离器方法估计橙色水果的形状,并获得各种形状的橙色水果的形状编号。发现结果与人工评估合理地良好吻合。

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