Development and application of a computer vision system for the measurement of the colour of Iranian sweet bread

被引:15
|
作者
Shahraki, M. Hashemi [1 ]
Mashkour, M. [1 ]
Garmakhany, A. Daraei [2 ]
机构
[1] Gorgan Univ Agr Sci & Nat Resources, Dept Food Sci & Technol, Gorgan 4913815739, Iran
[2] Islamic Azad Univ, Azadshahr Branch, Dept Food Sci & Technol, Azadshahr 5311953719, Golestan, Iran
关键词
colour measurement; computer vision system; honey powder; image J; Iranian sweet bread; IMAGE-ANALYSIS; FOOD; PRODUCTS;
D O I
10.3920/QAS2012.0167
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A combination of digital camera, computer and graphics software can provide a less expensive and more versatile technique to determine the surface colour of foods. The aim of this work is the development and application of a computer vision system for the measurement of the colour of Iranian sweet bread. In this study, imaging from samples was performed in an environment with 6,500 K illumination standard, and RGB colour space of captured images were transferred to L*a*b* indexes by computer software under illumination standard. This digital image processing was developed as a simple and efficient method for evaluating Iranian sweet bread colour. Also the effect of adding honey on qualitative and quantitative changes of colour values was evaluated as a function of the honey percentage (0, 2, 4, 6, 8, 10, 12, 14% honey powder). Results showed that the colour of the bread produced was improved by adding honey and the developed image processing system was suitable for the measurement of colour parameters. The developed image processing system can be used to measure the surface colour of food.
引用
收藏
页码:33 / 40
页数:8
相关论文
共 50 条
  • [1] Comparison of computer vision system and colour spectrophotometer for colour measurement of mozzarella cheese
    Minz, Prashant Saurabh
    Saini, Charanjiv Singh
    APPLIED FOOD RESEARCH, 2021, 1 (02):
  • [2] Development of a computer vision system to estimate the colour indices of Kinnow mandarins
    Lingaraj Hadimani
    Neerja Mittal
    Journal of Food Science and Technology, 2019, 56 : 2305 - 2311
  • [3] Development of a computer vision system to estimate the colour indices of Kinnow mandarins
    Hadimani, Lingaraj
    Mittal, Neerja
    JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2019, 56 (04): : 2305 - 2311
  • [4] Architecture for computer vision application development within the HORUS system
    TU München, Forschungsgruppe Bildverstehen, Informatik IX, Orleansstraße 34, 81667 München, Germany
    J Electron Imaging, 2 (244-260):
  • [5] Architecture for computer vision application development within the HORUS system
    Eckstein, W
    Steger, C
    JOURNAL OF ELECTRONIC IMAGING, 1997, 6 (02) : 244 - 261
  • [6] Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade
    Zhang, Sufei
    Guo, Ying
    MINERALS, 2021, 11 (08)
  • [7] Development and Application of the Computer Vision Technology
    Liu, Xiaowen
    2016 3RD INTERNATIONAL CONFERENCE ON MANAGEMENT INNOVATION AND BUSINESS INNOVATION (ICMIBI 2016), PT 2, 2016, 58 : 494 - 498
  • [8] Computer Vision in Android Application Development
    Tuichiev, Shakhzod
    Prikhodchenko, Vlada
    PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS), 2021, : 719 - 723
  • [9] Computer vision system approach in colour measurements of foods: Part I. development of methodology
    Tarlak, Fatih
    Ozdemir, Murat
    Melikoglu, Mehmet
    FOOD SCIENCE AND TECHNOLOGY, 2016, 36 (02): : 382 - 388
  • [10] Development and an Application of Computer Vision System for Nondestructive Physical Characterization of Mangoes
    Krishna Kumar Patel
    Abhijit Kar
    M. A. Khan
    Agricultural Research, 2020, 9 : 109 - 124