کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10277479 | 464361 | 2013 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An expert egg grading system based on machine vision and artificial intelligence techniques
ترجمه فارسی عنوان
یک سیستم ارزیابی تخم مرغ بر اساس دیدگاه ماشین و تکنیک های هوش مصنوعی
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کلمات کلیدی
تخم مرغ، عیوب، طبقه بندی، پردازش تصویر، منطق فازی، سیمولینک
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
The main purpose of this research was design and development of an intelligent system based on combined fuzzy logic and machine vision techniques for grading of egg using parameters such as defects and size of eggs. The detected defects were internal blood spots, cracks and breakages of eggshell. The Hue-Saturation-Value (HSV) color space was found useful in obtaining visual features during Image Processing (IP) stage. The fuzzy inference system (FIS) was designed based on triangular and trapezoidal membership functions, fuzzy rules with logical operator of AND inference system of Mamdani and method of center average for defuzzifier. The evaluation results of IP algorithms showed that use of IP technique has good performance for defects and size detection. The Correct Classification rate (CCR) was 95% for size detection, 94.5% for crack detection and 98% for breakage detection. The overall accuracy FIS model in grading of the eggs was 95.4.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Food Engineering - Volume 118, Issue 1, September 2013, Pages 70-77
Journal: Journal of Food Engineering - Volume 118, Issue 1, September 2013, Pages 70-77
نویسندگان
Mahmoud Omid, Mahmoud Soltani, Mohammad Hadi Dehrouyeh, Seyed Saeid Mohtasebi, Hojat Ahmadi,