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Article
Proposed Image Similarity Metric with Multi Block Histogram used in Video Tracking

Authors: Alia K. Abdul Hassan --- Hasanen S. Abdullah --- Akbas E. Ali
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 4 Part (B) Scientific Pages: 578-584
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

One of the important requirements in the object detection and tracking is the extracting of efficient features to trackthe target in video sequence. The feature of colour in image is one of the most visual features widely used. The using ofcolour histogram is the most popular method for representing color feature. One of the problems of using colour histogram to represent feature is its lack of spatial information where it is used to represents statistical distribution of the coloursonly. In this paper a new similarity metric with multi block colour histogram of image is proposed. This metric will be used by an object tracking method where the similarity will be applied to get a decision of choosing the correct solution (location) of the object from many candidate locations


Article
Buried Objects Detection and Segmentation Using a Semi-Automatic Technique Called Selected Peaks of Summing up Traces (SPST)
كشف وتجزئة الاجسام المدفونة بتقنية شبه اتوماتيكية تدعى اختيار اثار ملخص القمم

Authors: Nabeel J. Tawfiq نبيل جميل توفيق --- Israa J. Muhsin اسراء جميل محسن
Journal: Diyala Journal For Pure Science مجلة ديالى للعلوم الصرفة ISSN: 83732222 25189255 Year: 2016 Volume: 12 Issue: 3 - part 1 Pages: 107-121
Publisher: Diyala University جامعة ديالى

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Abstract

Ground Penetrating Radar (GPR) is a nondestructive geophysical technique that uses electromagnetic waves to evaluate subsurface information. This research presents package software for GPR data analysis and image processing with an algorithm for semi-automatic object detection, displaying, filtering, edges detection, histogram equalization, segmentation such as quantization and Fuzzy C-means clustering (FCM). After applying preprocessing on the image, a new technique depends on taking the Selected Peaks of Summing up Traces (SPST) have been adopted to give the very good results of buried objects detection compares with other segmentation methods. MSE and RMSE criteria were used to perform the comparison between the results. The fundamentals of GPR and software are illustrated inside with data taken by (MALÅ GPR ProEx System) at the University of Baghdad campus -college of science.

رادار الاختراق الارضي هي تقنية جيوفيزيائية غير مدمرة التي تستخدم الموجات الكهرومغناطيسية لتخمين معلومات حول السطح. هذا البحث قدم حقيبة برمجية لتحليل بيانات رادار الاختراق الارضي مع معالجة صورية وخوارزمية شبه اتوماتيكية لكشف الجسم,العرض, كشف الحافات,تكميم المخطط البياني والتجزئة مثل التكمم ومعدل التعنقد الغير محدد. بعد تطبيق المعالجة الاولية على الصورة, تقنية جديدة تعتمد على اختيار اثار ملخص القمم تم تبنيها لتعطي نتائج جيدة جدا مقارنة مع طرق التجزئة الاخرى. معايير معدل مربع الخطأ وجذر معدل مربع الخطأ استخدمت لاتمام المقارنة بين النتائج. اساسيات رادار الاختراق الارضي وبرامجه المقدمة مع البيانات اخذت بجهاز (MALÅ GPR ProEx System) في مجمع جامعة بغداد- كلية العلوم.

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