![](/images/graphics-bg.png)
Trademark image retrieval based-color features using statistical methods
المؤلف
المصدر
Journal of Baghdad College of Economic Sciences University
العدد
المجلد 2018، العدد 54 (31 مارس/آذار 2018)، ص ص. 14-30، 17ص.
الناشر
كلية بغداد للعلوم الاقتصادية الجامعة
تاريخ النشر
2018-03-31
دولة النشر
العراق
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Since the number of registered trademarks are increasing rapidly, manage these images and identifying similar trademarks by human in response to user queries has become a significant problem and time-consuming.
To deal with this problem, design and implement an effective queried by Image Retrieval System (IRS) called Trademark Image Retrieval Based-Color Feature (TIRBCF) which is able to retrieve trademark image based on visual low-level image content from a big database of trademark images described by descriptors of color feature is presented as the major objective of this work.
TIRBCF is based over the index of Hue (H), Saturation (S) and Value (V) of HSV color space because it is so close to human visual vision.
TIRBCF is automatically selects appropriate color descriptor using statistical method to discriminate trademark images.
Color retrieval is achieved by utilizing four statistical color descriptors including HSV Color Histogram (HCH), Mean HSV Color, and Median HSV Color (MHC) of an image as a feature set.
Intersection Distance (ID) measurement for HCH and Euclidean Distance (ED) for other color descriptors are used as the color vector matching because its simplicity and effectiveness.
The user provides query image through user interface, the system will extract color descriptors from it, then compared with those extracted from the trademark images database in order to retrieve similar trademarks.
Experiments have been conducted on a database of 3000 trademark images and the results demonstrate the accuracy of the precision/recall estimates in comparison to human-judge.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Masudi, Fatin A. Mahdi. 2018. Trademark image retrieval based-color features using statistical methods. Journal of Baghdad College of Economic Sciences University،Vol. 2018, no. 54, pp.14-30.
https://search.emarefa.net/detail/BIM-937870
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Masudi, Fatin A. Mahdi. Trademark image retrieval based-color features using statistical methods. Journal of Baghdad College of Economic Sciences University No. 54 (2018), pp.14-30.
https://search.emarefa.net/detail/BIM-937870
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Masudi, Fatin A. Mahdi. Trademark image retrieval based-color features using statistical methods. Journal of Baghdad College of Economic Sciences University. 2018. Vol. 2018, no. 54, pp.14-30.
https://search.emarefa.net/detail/BIM-937870
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
رقم السجل
BIM-937870
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)