Search In this Thesis
   Search In this Thesis  
العنوان
Vision Intelligence And Image Feature Extraction For Agricultural Products Classification =
المؤلف
Hegazy, Mohamed Mostafa.
هيئة الاعداد
مشرف / احمد مرسى محمود عطية
مشرف / محمد جابر ابو على
مشرف / حسن على قاسم
باحث / محمد مصطفى حجازى
الموضوع
Agricultural products, Vision Intelligence
تاريخ النشر
2005.
عدد الصفحات
139 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علوم المواد
تاريخ الإجازة
1/1/2005
مكان الإجازة
جامعة الاسكندريه - معهد الدراسات العليا والبحوث - Information Technology
الفهرس
Only 14 pages are availabe for public view

from 154

from 154

Abstract

Digital color imaging techniques are becoming powerful experimental tools that provide physical information of agricultural products nondestructively without any hazards. Digital imaging techniques combined with role based algorithms will suggest a perfect solution for nondestructive quality evaluation of agricultural and food products.
The inspection chamber and the camera were designed and constructed to allow future upgrade to a commercial handling system. The Orange was put inside the chamber under the camera and six images were digitized, with a 90° rotation between successive views. Image processing techniques were developed to find the boundaries of the fruit, boundaries of the defected areas, features for those areas, and decide which defect this area belongs to.
Morphological features were identified for each area to analyze the fruit quality by deciding which defect this fruit has, including Compactness, roundhess, elongation, and roughness were chosen and defined for the shape factors. The shape factors, of which values were a maximum of one for a circle, were derived from area, perimeter,