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Image processing refers to quantitative analyses and/or algorithms applied to digital image data. It allows generation of 3D parametric maps and implies calculation of values that should be ultimately replicable and rater-independent. This [course_title] is an introduction to image processing and image analysis techniques and concepts. The course will reinforce and enhance your communication skills in technical writing by written assignments and laboratory work reports.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: Open Culture 

Course Curriculum

module :1
Course Introduction 00:53:00
Fourier Analysis 00:50:00
Edge and Corner Detection 00:54:00
Saliency and Scale 00:51:00
Object Detection 00:53:00
Object Detection Continued 00:51:00
Bottom-Up Image Segmentation 00:41:00
Top-Down Image Segmentation 00:51:00
Texture Analysis 00:57:00
Neighborhoods 00:33:00
module :2
Invariants 00:50:00
3D Image Acquisition 00:53:00
Mesh Smoothing 00:50:00
Mesh Alignment I 00:51:00
Mesh Alignment II 00:51:00
Combining Multiple Meshes 00:51:00
Global Shape Representations 00:55:00
Local Shape Representations 00:52:00
Object Detection from Range Data 00:51:00
Medical Image Acquisition 00:45:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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