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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

胡晋伟 赵志峰 张欣莹 祝贺 李波 孙海清 徐炜桢

食品与发酵工业2025,Vol.51Issue(1):273-279,7.
食品与发酵工业2025,Vol.51Issue(1):273-279,7.DOI:10.13995/j.cnki.11-1802/ts.040867

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

The classification of dried chili pepper appearance quality utilizing mobile phone photography integrated with Image J software

胡晋伟 1赵志峰 1张欣莹 1祝贺 2李波 2孙海清 1徐炜桢1

作者信息

  • 1. 四川轻化工大学生物工程学院,四川宜宾,644000
  • 2. 山东农业工程学院食品科学与工程学院,山东济南,250000
  • 折叠

摘要

Abstract

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.

关键词

干辣椒/手机拍照/Image J软件/RGB色彩模型/分级

Key words

dried chili peppers/mobile phone photography/Image J software/RGB color model/classification

引用本文复制引用

胡晋伟,赵志峰,张欣莹,祝贺,李波,孙海清,徐炜桢..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[J].食品与发酵工业,2025,51(1):273-279,7.

基金项目

山东省技术创新引导计划项目(YDZX2023088) (YDZX2023088)

四川轻化工大学科研创新团队计划资助项目(SUSE652A009) (SUSE652A009)

食品与发酵工业

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