Fall 2024

Course Description

Computer Vision: Algorithms and Applications ,Richard Szeliski , 2th Edition.

Week	Date	Covered Topics	Comments
1	16/9	Course organization
2	23/9	Introduction to Computer Vision: Definition and scope of computer vision. Evolution and Applications of Computer Vision: Overview of the computer vision pipeline and its real-world applications.	Lecture1,2
3	30/9	Image Processing Application	Image Processing 2010
4	7/10	Image histogram and Histogram equalization	Lecture 3
7	14/10	Image Kernel (filter)	Lecture 4
5	21/10	Convolution – Fundamental Concepts, LPF, Gaussian filter and assignment 2	Assignment 2
6	28/10-4/11	Derivation filter , Gradient Filter, Laplacian Filter	Handout 1, Assignment 3
8	11/11	Canny Edge Detection	Lecture 5
9	18/11
10	25/11	Harris Corner Detector	Lecture 6 Assignment 4
11	2/12	Linear Least Squares Optimization	Lecture 7 Assignment 5
12	9/12
13
14
15		presentation	Presentation Evaluation Presentation Schedule

student name	Presentation
بتول خيرالله عبد	Utilizing Computer Vision for Enhanced Security and Surveillance: Applications in Speed Monitoring Camera
نور احمد مكي	Face recognition
زينب نصير حديد	Occlusion in Computer Vision
فاطمة الزهراء غسان ماجد	Image segmentation
مرتضى صالح مهدي	Video Analysis in Sports
رفل عبد الكاظم محمد	Bilateral filter
الاء كاظم عبد علي	Tree for region splitting and merging
شهد صلاح عبد الهادي	Waste classification using computer vision
حسن جاسم محمد	Computational Photography: Merging Computer vision with Image enhancement.
محمد جاسم محمد	Using Computer Vision for Medical Image Analysis
عز الدين ساهي علاوي	The Role of Computer Vision in Augmented Reality (AR)
محمد صابر ياسر	Computer Vision in Advanced Medical Diagnostics
احمد محمد رضا عبد الستار	Iris Recognition using Computer Vision Technologies