Applications of digital image analysis (dia) to food-quality assessment : an Overview
العناوين الأخرى
تطبيقات التحليل التصويري الرقمي في تقويم جودة الأغذية : نظرة شاملة
المؤلفون المشاركون
al-Haddad, Nismah Nabil
Abu Gharbiyah, Hani Ali Hasan
Yusuf, Muhammad Mahmud
المصدر
Alexandria Journal of Food Science and Technology
العدد
المجلد 2، العدد 1 (30 ديسمبر/كانون الأول 2005)، ص ص. 41-50، 10ص.
الناشر
الجمعية العلمية للصناعات الغذائية
تاريخ النشر
2005-12-30
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الموضوعات
الملخص EN
Recently, the role of digital image analysis has been grown widely in different technological fields such as, space research, communications, remote sensation, medicine and in analysis, processing and quality assessment of foods.
The term image refers to a two-dimensional light-intensity function, denoted by f (x, y), when the value or amplitude off at spatial coordinates (x, y) gives the intensity (brightness) of the image at that point.
We may consider a digital image as a matrix whose row and column indices identify a point in the image and the corresponding matrix element value identifies the gray level at the point.
The elements of such a digital image array are called image elements, picture elements, pixels, or peels with the last two names being commonly used as abbreviations of “pictures elements”.
An expansion in image analysis applications is occurring within the agriculture and food industries with the result that image analysis can be used for the characterization of food products.
It is noteworthy that images are often studied for detecting or enhancing geometrical structures.
Image analysis can be used in many aspects of food industry, analysis and quality assurance.
For instance, image analysis can be used to discriminate cereal grains and classify cereal kernels according to their physical dimensions.
Meanwhile, color analysis of individual wheat grains might facilitate the identification of grains in the wheat-grading context.
Moreover, by selecting the near IR wavelengths of excitation and emission, images obtained can be applied to discriminate starch, gluten and bran which present the three major components of wheat grain.
The study of color or intensity of the points (pixels) in an image can be a way to obtain chemical information, such as fat and lean contents in meat and meat products.
In case of minced meat, the fat can be differentiated from lean using UV light.
Furthermore, digital image analysis was developed to measure the size and spatial distribution of the satellite microbial colonies as a function of distance from the primary colony.
Bar coding represents an important application of image analysis.
Bar coding is a form of artificial identifier.
It is a machine readable code consisting of a pattern of black and white bars and space defined ratios which represent alphanumeric character.
A sensor scans the bar code symbol and converts the visual image into an electrical signal.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yusuf, Muhammad Mahmud& Abu Gharbiyah, Hani Ali Hasan& al-Haddad, Nismah Nabil. 2005. Applications of digital image analysis (dia) to food-quality assessment : an Overview. Alexandria Journal of Food Science and Technology،Vol. 2, no. 1, pp.41-50.
https://search.emarefa.net/detail/BIM-93900
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yusuf, Muhammad Mahmud…[et al.]. Applications of digital image analysis (dia) to food-quality assessment : an Overview. Alexandria Journal of Food Science and Technology Vol. 2, no. 1 (2005), pp.41-50.
https://search.emarefa.net/detail/BIM-93900
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yusuf, Muhammad Mahmud& Abu Gharbiyah, Hani Ali Hasan& al-Haddad, Nismah Nabil. Applications of digital image analysis (dia) to food-quality assessment : an Overview. Alexandria Journal of Food Science and Technology. 2005. Vol. 2, no. 1, pp.41-50.
https://search.emarefa.net/detail/BIM-93900
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 47-49
رقم السجل
BIM-93900
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر