Image Analysis as a Tool for Estimation of Red Peppers’ Color

Ramesh Babu Natarajan, Ranjith Arimboor
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Abstract

Red pepper is an excellent source of natural red color. The estimation of color is of great importance, as it is being used for grading red peppers to suit various applications in the food industry. A novel method for quick and easy determination of the color of red peppers by analyzing the color images obtained from a flatbed scanner was developed and validated. ImageJ software was used for measuring the RGB values of the images and the RGB values thus obtained were converted into the industrially accepted American Spice Trade Association (ASTA) color values in red peppers by using an empirical formula. The results were compared with color values obtained through ASTA chemical analytical method. The developed image analysis method was used for the analysis of red peppers with color values ranging from 15 to 154 ASTA units. The image analysis method showed good agreement with the chemical method for color values ranging from 40 to 140 ASTA units. The new method is also fast and easy to adopt and is deemed useful in the field, of processing and storage facilities, where access to sophisticated instrumentation for color estimation and color stability studies is limited.
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图像分析作为红辣椒颜色估计的工具
红辣椒是天然红色的绝佳来源。颜色的估计非常重要,因为它被用于对红辣椒进行分级,以适应食品工业中的各种应用。开发并验证了一种通过分析平板扫描仪获得的彩色图像来快速简便地测定红辣椒颜色的新方法。ImageJ软件用于测量图像的RGB值,并且通过使用经验公式将由此获得的RGB值转换成工业上可接受的美国香料贸易协会(ASTA)在红辣椒中的颜色值。将结果与通过ASTA化学分析方法获得的颜色值进行比较。所开发的图像分析方法用于分析颜色值在15到154 ASTA单位之间的红辣椒。对于40至140 ASTA单位的颜色值,图像分析方法与化学方法显示出良好的一致性。这种新方法也快速易用,被认为在加工和储存设施领域很有用,因为在这些领域,用于颜色估计和颜色稳定性研究的复杂仪器的使用受到限制。
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发文量
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审稿时长
8 weeks
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