PENGARUH VARIASI SUDUT DATANG DAN SUDUT TANGKAP CAHAYA PADA NILAI KONTRAS CITRA SPEKEL BERAS BERBASIS GUI MATLAB

Mahardika Mega Utama, Wiwis Sasmitaninghidayah
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Abstract

Rice is the staple food of Indonesian. Rice quality is a factor that needs attention because it is related to consumer health.Checking the quality of rice using digital images can be applied because it is non-invasive, so the rice will be more hygienic. The method of utilizing digital images that can be used for checking the quality of rice is LSCI (Laser Speckel Imaging). This method uses a speckle image, that contrast value is analyzedusingImageJ or MATLAB software. To obtain the optimum speckle image contrast value, the arrival angle (laser angle) and capture angle (camera angle) must be adjusted properly. Obtained angle values that produce the optimum speckle image contrast, are at the arrival angle 40 o and capture angle 30 o at 60 o data capture position. The average of the optimum contrast value is 1.2617 a.u. To simplify the speckle image processing, a speckle image contrast analysis application based on the GUI MATLAB was created. Obtained the measurement accuracy from the application is ranged from 99,99 % to 100.00%.
不同角度的变化和光度对基于GUI MATLAB的谷物样品的对比度的影响
大米是印尼人的主食。大米的质量关系到消费者的健康,是一个值得关注的因素。利用数字图像检查大米的质量可以应用,因为它是非侵入性的,所以大米会更卫生。利用数字图像检测大米质量的方法是激光散斑成像(LSCI)。该方法使用散斑图像,使用imagej或MATLAB软件分析对比度值。为了获得最佳的散斑图像对比度值,必须适当调整到达角度(激光角度)和捕获角度(相机角度)。所获得的产生最佳散斑图像对比度的角度值分别为到达角40°和捕获角30°,数据捕获位置为60°。最佳对比度平均值为1.2617 a.u。为了简化散斑图像处理,基于GUI MATLAB开发了一个散斑图像对比度分析应用程序。应用得到的测量精度范围为99.99% ~ 100.00%。
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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