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Extract the similar images using the grey level co-occurrence matrix and the Hu invariants moments
المؤلفون المشاركون
Abd Allah, Bashayr A.
Ibrahim, Nuha J.
Ali, Yusra H.
المصدر
Engineering and Technology Journal
العدد
المجلد 38، العدد 5A (31 مايو/أيار 2020)، ص ص. 719-727، 9ص.
الناشر
تاريخ النشر
2020-05-31
دولة النشر
العراق
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
In the last years, many types of research have introduced different methods and techniques for a correct and reliable image retrieval system.
The goal of this paper is a comparison study between two different methods which are the Grey level co-occurrence matrix and the Hu invariants moments, and this study is done by building up an image retrieval system employing each method separately and comparing between the results.
The Euclidian distance measure is used to compute the similarity between the query image and database images.
Both systems are evaluated according to the measures that are used in detection, description, and matching fields which are precision, recall, and accuracy, and addition to that mean square error (MSE) and structural similarity index (SSIM) is used.
And as it shows from the results the Grey level co-occurrence matrix (GLCM) had outstanding and better results from the Hu invariants moment n the last years, many types of research have introduced different methods and techniques for a correct and reliable image retrieval system.
The goal of this paper is a comparison study between two different methods which are the Grey level co-occurrence matrix and the Hu invariants moments, and this study is done by building up an image retrieval system employing each method separately and comparing between the results.
The Euclidian distance measure is used to compute the similarity between the query image and database images.
Both systems are evaluated according to the measures that are used in detection, description, and matching fields which are precision, recall, and accuracy, and addition to that mean square error (MSE) and structural similarity index (SSIM) is used.
And as it shows from the results the Grey level co-occurrence matrix (GLCM) had outstanding and better results from the Hu invariants moment method
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abd Allah, Bashayr A.& Ali, Yusra H.& Ibrahim, Nuha J.. 2020. Extract the similar images using the grey level co-occurrence matrix and the Hu invariants moments. Engineering and Technology Journal،Vol. 38, no. 5A, pp.719-727.
https://search.emarefa.net/detail/BIM-1236557
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abd Allah, Bashayr A.…[et al.]. Extract the similar images using the grey level co-occurrence matrix and the Hu invariants moments. Engineering and Technology Journal Vol. 38, no. 5A (2020), pp.719-727.
https://search.emarefa.net/detail/BIM-1236557
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abd Allah, Bashayr A.& Ali, Yusra H.& Ibrahim, Nuha J.. Extract the similar images using the grey level co-occurrence matrix and the Hu invariants moments. Engineering and Technology Journal. 2020. Vol. 38, no. 5A, pp.719-727.
https://search.emarefa.net/detail/BIM-1236557
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 726-727
رقم السجل
BIM-1236557
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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