Optical flow estimation based on slantlet transform
مقدم أطروحة جامعية
مشرف أطروحة جامعية
الجامعة
الجامعة التكنولوجية
الكلية
-
القسم الأكاديمي
قسم الهندسة الكهربائية
دولة الجامعة
العراق
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2012
الملخص الإنجليزي
A model called Slantlet Based Optical Flow Estimation (SLT_OFE) is proposed in this thesis to estimate the optical flow.
Slantlet Transform (SLT) used as an effective tool, 2D and 3D- SLT- Level 2 are computed and employed in the proposed model.
Through this work, it is found that using SLT provides more accurate estimation of the optical flow.
Furthermore, SLT reduces the computationally complexity by giving a sample reduction in its filterbank by (2L -2) for each level L, and compact the signal energy into a small number of coefficients leading to reduce the program implementation time and the size of required memory.
By its definition, optical flow is a velocity field.
So, the velocities in this thesis are computed using the widely used Differential Technique, two methods from this technique are adopted, Horn-Schunck Method and Lucas-Kanade Method.
For extreme study of its performance, the proposed SLT_OFE is compared with three other models that are based on Discrete Wavelet (DWT2), Discrete Multi-Wavelet (DMWT2) and Framelet (FT2) level two transformations which are implemented in this work and employed in the conventional models, 2D-DWT2_OFE, 2D-DMWT2_OFE and 2D-FT2_OFE.
All of these models are tested under the same conditions by using two types of image sequences, synthetic and real image sequences.
Unlike the real sequences, the synthetic sequences have known true velocities which are used for the evaluation.
The optical flow is assessed by calculating mean error (Mean Err.), angular error (Ang.
Err.), and Standard Deviation (STD).
The results show that SLT_OFE gives minimum values in errors and STD using 2D-SLT2 and these results are improved by using 3D-SLT2.
This leads to the fact that the proposed model SLT_OFE through both of 2D-SLT2_OFE and 3D-SLT2_OFE approaches gives an improvement in the optical flow estimation process with high accuracy than the other models produced in the same circumstances.
التخصصات الرئيسية
الموضوعات
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Ruby, Hamsa Diya Majid. (2012). Optical flow estimation based on slantlet transform. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-419944
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Ruby, Hamsa Diya Majid. Optical flow estimation based on slantlet transform. (Master's theses Theses and Dissertations Master). University of Technology. (2012).
https://search.emarefa.net/detail/BIM-419944
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Ruby, Hamsa Diya Majid. (2012). Optical flow estimation based on slantlet transform. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-419944
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-419944
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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