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العنوان
QUANTITATVE COLOR APPEARANCE EVALUATION USING MACHINE VISION /
المؤلف
Hassan, Aya Hassan Gharib.
هيئة الاعداد
باحث / Aya Hassan Gharib Hassan
مشرف / Ayman Hafiz Amer Eissa
مشرف / Gamal Rashad Gamea
مشرف / Ahmed Tawfik Taha
الموضوع
Vision. Engineering.
تاريخ النشر
2013.
عدد الصفحات
140 p. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الزراعية وعلوم المحاصيل
تاريخ الإجازة
2/4/2013
مكان الإجازة
جامعة المنوفية - كلية الزراعة - Agricultural Engineering Department.
الفهرس
Only 14 pages are availabe for public view

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Abstract

The process of staging one of the most important processes good preparation for
vegetables and fruit after harvest. Since staging a good lead to the lifting of
product quality and makes it identical to the established standards for each
grade, according to the requirements of the local and international market in the
case of export. Moreover makes the best product suitable for automated
manufacturing processes. It also helps to ease packing, transportation and
trading. And has been observed that the staging manual has many drawbacks of
the most important high cost of skilled labor and lack of availability, as well as
lower efficiency and production rate, in addition to product exposure to
pollution and different personality traits of the workers as well as lower
efficiency and production rate. While roads mechanism feature speed, efficiency
and low operating costs and non-pollution products, especially when using
modern methods for sorting. And adopt all the methods used for grading the
difference in the character of one or more of the natural qualities of the fruits of
such dimensions, weight, color or degree of maturity etc.. Since the goal of the
process of sorting the fruit is the season of ripe fruits in terms of color and nonhomogeneous.
Since these qualities have a significant impact and effective
client’s decision
For these reasons, the fruit must be handled very carefully sorting and grading
operations in order to see the fruits of fruits and vegetables in different stages of
the field to the final consumer with varying degrees of homogeneity to suit the
taste of the consumer.
Automated imaging systems make it possible to check the quality and safety of
fruit and vegetables consumed by the public. Sorting and grading systems
current allow automated sorting and grading fruit and vegetables according to
the quality attributes such as color, texture and size and freedom from defects
and injuries on the basis of the respective imaging the surface of the fruit, the
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Summary and conclusion
spectrum to ensure access to the fruits free of defects and contamination. So this
study aimed to provide and build vision system mechanism works on the basis
of image analysis to sort fruits vegetables and fruit automatically without
destroyed by a system programmer it processes images based on color and how
homogeneity fabric fruits to be classified to varying degrees have been built in
the Department of Agricultural Engineering - College Agriculture - Menoufia
University.
Objectives of the study
Study of some physical and mechanical characteristics which affect the fruit
and vegetables sorting were volume, weight, surface area, radius of curvature
The coeff-icient of restitution dynamic friction coefficients Firmness and of
the individual fruit. Two crops were selected and tested tomato.
Design image acquisition unit to take images (chamber lighting and
digital camera).
Establishment code to measure color and determine the degree of maturity
of tomato fruits.
Automated vision system components:-
1 - room lighting dimensions 750 × 450 × 400 mm which is a unit capture
images of the fruits were manufactured from wood and painted by black from
the inside to absorb reflections and provide background by contrast is high in
color between them and the fruits and Sticky’s four bulbs fluorescent length 60
cm on opposite sides 35 cm high and 45-degree angle and installed a digital
camera at a height of 30 cm from the surface of the fruit.
2-computer has properties Pentium III processor2.00GHZ, RAM 1GB and
software MATLAB 9 to establishment code to measure color.