基于手机拍照结合Image J软件对干辣椒外观品质的分级研究OA北大核心
The classification of dried chili pepper appearance quality utilizing mobile phone photography integrated with Image J software
干辣椒外观形状和色泽是其品质分类的重要指标.目前GB 10465-1989《辣椒干》中对干辣椒外观形状和色泽的检测方式还停留在人工检测阶段,通常受到主观感知、误差、视觉生理等多种因素影响,未形成科学标准化的检测方法.该研究利用手机拍照对干辣椒获取图像,通过Image J软件进行图像处理,提出了一种便捷、快速、准确的干辣椒外观形状相关特征量的测定方法.与游标卡尺法、剪纸法等人工测量相比,该方法更方便快速,可用于干辣椒的长度、宽度、面积等表型指标的测量.同时,通过构建红绿蓝(RGB)色彩模型获得干辣椒的外观颜色特征参数,色泽分选采用R/(G+B)比率为分级依据,结合干辣椒宽长比和面积可以将干辣椒分为优质、合格、不合格3个等级.
The appearance,shape,and colour of dried chili peppers are critical criteria for quality classification.Currently,the in-spection methods for the appearance,shape,and colour of dried chili peppers outlined in GB 10465-1989 still rely on manual detection,often influenced by subjective perception,errors,visual physiology,and other factors.This makes it challenging to establish scientific and accepted standardized detection protocols.In this study,images of dried chili peppers were obtained using mobile phone photography,and image processing was carried out through Image J software.A convenient,rapid,and accurate method for determining the related charac-teristic quantities of the appearance and shape of dried chili peppers was proposed.Compared to manual measurements such as the vernier caliper method and paper-cutting method,this approach offers greater convenience and speed,enabling the measurement of phenotype in-dicators,including length,width,and area of dried chili peppers.Furthermore,the characteristic parameters of the appearance colour of dried chili peppers were obtained by constructing the Red-Green-Blue(RGB)colour model.Colour sorting adopts the classification basis of the R/(G+B)ratio.Combined with the width-to-length ratio and area of dried chili peppers,dried chili peppers can be classified into three grades:high-quality,qualified,and unqualified.
胡晋伟;赵志峰;张欣莹;祝贺;李波;孙海清;徐炜桢
四川轻化工大学生物工程学院,四川宜宾,644000山东农业工程学院食品科学与工程学院,山东济南,250000
干辣椒手机拍照Image J软件RGB色彩模型分级
dried chili peppersmobile phone photographyImage J softwareRGB color modelclassification
《食品与发酵工业》 2025 (001)
273-279 / 7
山东省技术创新引导计划项目(YDZX2023088);四川轻化工大学科研创新团队计划资助项目(SUSE652A009)
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