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Article
Depth Estimation and Shape Reconstruction of a 2D Image Using N.N. and Bézier Surface Interpolation

Author: Luma Issa Abdul–Kreem
Journal: IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم ISSN: 18119212 Year: 2017 Volume: 17 Issue: 1 Pages: 24-32
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Inferring 3D image from 2D image is an advance topic in computer vision. This article considers a 2D image depth estimation of an object and reconstructs it into a 3D object image. The 2D image is defined by slices, where each slice contains a set of points that are located along the object contour and within the object body. The depths of these slices are estimated using the neural network technique (N.N.), where five factors (slice length, angle of the incident light and illumination of some of points that located along the 2D object, namely control points) are used as inputs to the network. The estimated depths of the slices are mapped into a 3D surface using the interpolation technique of the Bezier Spline surface. Our model was tested and evaluated using different objects with different and complex shapes. The results showed an effective performance of the proposed approach.


Article
Foreground Object Detection and Separation Based on Region Contrast

Author: Samera Shams Hussein
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2017 Volume: 58 Issue: 4A Pages: 1963-1969
Publisher: Baghdad University جامعة بغداد

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Abstract

Foreground object detection is one of the major important tasks in the field of computer vision which attempt to discover important objects in still image or image sequences or locate related targets from the scene. Foreground objects detection is very important for several approaches like object recognition, surveillance, image annotation, and image retrieval, etc. In this work, a proposed method has been presented for detection and separation foreground object from image or video in both of moving and stable targets. Comparisons with general foreground detectors such as background subtraction techniques our approach are able to detect important target for case the target is moving or not and can separate foreground object with high details.


Article
CONSTRUCTORS AND DESTRUCTUR IN OBJECT ORIENTED PROGRAMMING
المنشِاّت والمدمر في البرمجة كائنية التوجه

Author: Nadia Moqbel Hassan
Journal: Journal of Engineering and Sustainable Development مجلة الهندسة والتنمية المستدامة ISSN: 25200917 Year: 2017 Volume: 21 Issue: 4 Pages: 1-13
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

This paper offers analysis and design of data protection and administration utilizing constructors or special member functions (SMF) and destructor or demolition function (DF) capacities that begin the objects of its class and manipulated the data using encapsulation or concealing data in object-oriented programming (OOP). In (OOP), the accentuation is on data rather than procedures. Class is a technique that ties the data and attributes jointly. SMF work is utilized to begin or initialize the occurrence of a class and DF work crushes the objects when they are no longer needed. Lastly, the paper exhibits Performance Evaluation and Simulation Results for depict how certain security constraints are taken SMF whose errand is to initialize the objects of its class.

يقدم هذا البحث تحليل وتصميم إدارة وأمن البيانات باستخدام المنشئ او دوال العضو الخاصة (SMF) والمدمر او دوال الهدم(DF), التي تهيئ الكائنات من فئتها وتعالج البيانات على أساس التغليف أو إخفاء البيانات في البرمجة كائنية التوجه (OOP). في البرمجة كائنية التوجه ، يتم التركيز على البيانات بدلا من الدوال. الفئة هي الطريقة التي تربط البيانات والدوال معاً. دالة العضو الخاصة هي تهيئة للفئة والدالة المدمره تدمر الكائنات عندما لم يعد هناك حاجة إليها. وأخيرا، يقدم البحث تقييم الأداء ومحاكاة النتائج لوصف كيفية التعامل مع القيود الأمنية المعطاة باستخدام دالة عضو خاصة التي تتمثل مهمتها في تهيئة الكائنات من فئتها.


Article
SIMPLE DRONE FOR OBJECT COLOR DETECTION

Author: Malik Abdulrazzaq Jabbar
Journal: Journal of Engineering and Sustainable Development مجلة الهندسة والتنمية المستدامة ISSN: 25200917 Year: 2017 Volume: 21 Issue: 6 Pages: 118-130
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Multirotor unmanned aerial vehicles (UAVs), such as quadcopters and hexacopters, have become increasingly popular in recent years. This is due to their capability to hover along with other specifications that make them viable in many applications. In this work, the development and integration of a quad-copter in X-configuration with an IP camera for object detection based on the color of an object are handled. A KK2 microcontroller is used to control the quadcopter movements. The controller has built-in gyros that provides heading rate information, which are used to control the movement of the quadcopter. The parts of the whole UAV are selected and integrated. The calibration processes are handled after installing necessary controller codes. This is to make quadcopter fly according to set commands and smoothly. The IP camera is integrated with quadcopter frame to acquire images of objects to detect a pre-specified target color. Mobile camera with GPS data is used here for the detection. Two algorithms were next implemented to acquire and analyze the images received from the IP camera. The results show that the Images were captured and analyzed successfully and the objects were remotely detected based on their color. As a result, the developed algorithms can be used as a part in remote observation systems.


Article
Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor
خوارزمية تحويل الخصائص غير المتاثرة بمقياس مع التقريب السريع لاقرب جار

Authors: Ekhlas Khalaf Gbash اخلاص خلف كباش --- Suha Mohammed Saleh سها محمد صالح
Journal: Baghdad Science Journal مجلة بغداد للعلوم ISSN: 20788665 24117986 Year: 2017 Volume: 14 Issue: 3 Pages: 651-661
Publisher: Baghdad University جامعة بغداد

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Abstract

There is a great deal of systems dealing with image processing that are being used and developed on a daily basis. Those systems need the deployment of some basic operations such as detecting the Regions of Interest and matching those regions, in addition to the description of their properties. Those operations play a significant role in decision making which is necessary for the next operations depending on the assigned task.In order to accomplish those tasks, various algorithms have been introduced throughout years. One of the most popular algorithms is the Scale Invariant Feature Transform (SIFT). The efficiency of this algorithm is its performance in the process of detection and property description, and that is due to the fact that it operates on a big number of key-points, the only drawback it has is that it is rather time consuming.In the suggested approach, the system deploys SIFT to perform its basic tasks of matching and description is focused on minimizing the number of key-points which is performed via applying Fast Approximate Nearest Neighbor algorithm, which will reduce the redundancy of matching leading to speeding up the process.The proposed application has been evaluated in terms of two criteria which are time and accuracy, and has accomplished a percentage of accuracy of up to 100%, in addition to speeding up the processes of matching and description

هنالك الكثير من الانظمة تتعامل مع معالجة الصور.وهذه الانظمة اصبحت بحاجة الى تطوير العديد من العمليات الاساسية كاكتشاف المناطق المهمة ومطابقة هذه المناطق,بالاضافة الى توصيف هذه الخواص.هذه العمليات لعبت دور مهم في اتخاذ القرارالذي يكون ضروري للعمليات اللاحقة بالاعتماد على المهمات المخصصة.من اجل تحقيق العمليات المخصصة,العديد من الخوارزميات قدمت خلال السنوات الماضية.واحدة من اشهر الخوارزميات هي(خوارزمية تحويل الخصائص غير المتاثرة بمقياس). هذه الخوارزمية كفوءة في عمليات الاكتشاف والتوصيف للنقاط المفتاحية لكن كثرة النقاط المفتاحية ادى الى استغراق وقت طويل لعملية المعالجة الذي يعتبر من عيوب هذه الخوارزمية.في الطريقة المقترحة , النظام وظف الخوارمية لتادية المهام الاساسية في الكشف والتوصيف وتم التركيز على تقليل عدد النقاط المفتاحية باستخدام خوارزمية التقريب السريع لااقرب جار التي تقلل من النقاط المتكررة والتي تودي الى تسريع عملية المعالجة.تم تقييم النظام المقترح بالاعتماد على معياريين هما الوقت والدقة , وتم تحقيق نسبة دقة 100% بالاضافة الى تسريع عملية المعالجة.


Article
Tracking of Video Objects Based on Kalman Filter

Authors: Assel H. Kaittan --- Thamir R. Saeed
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2017 Volume: 25 Issue: 5 Pages: 1507-1518
Publisher: Babylon University جامعة بابل

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Abstract

Object tracking is an important task within the field of computer vision. Where, it is the process of segmenting an object of interest from a video scene and keeping track of its motion, orientation occlusion to extract useful information. This paper is intended to the improve the measurement accuracy of the closing moving object by using the median filter for denoising and Kalman filter for tracking. At the denoising stage, 70-80% of the noise is reduced by using a median filter. The median filter has been used instead of the Wiener filter because the noise which is assumed is salt and pepper, and it is less complexity than the Wiener filter. While in the tracking stage, the KF has been used as estimated filter. However, the measurements have been improved by 11.27%. The simulation has been done by using Matlab 2014, while the proposal is applied to the real video.

تتبع الاجسام مطلب مهم مجال رؤية الكمبيوتر. حيث، هو عملية تجزئة الجسم من مشهد فيديو وابقاء التتبع لحركته، لاستخراج المعلومات المفيدة. وتهدف هذه الورقة إلى تحسين دقة القياس من للاجسام المتحركة المتقاربة باستخدام المرشح الوسيط للتصفية ومرشح كالمان للتتبع. في مرحلة إزالة الضوضاء، تم تقليل 70-80٪ من الضوضاء باستخدام مرشح وسيط. وقد استخدم المرشح الوسيط بدلا من مرشح وينر لأن الضوضاء المفترضة هي الملح والفلفل، وهو أقل تعقيدا من مرشح وينر. بينما في مرحلة التتبع، تم استخدام مرشح كالمان كمقدر (مخمن). ومع ذلك، تم تحسين القياسات بنسبة 11.27٪. وقد تم إجراء المحاكاة باستخدام ماتلاب 2014، في حين يتم تطبيق الاقتراح على الفيديو الحقيقي.

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