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
|Edge and Corner Detection
|Saliency and Scale
|Object Detection Continued
|Bottom-Up Image Segmentation
|Top-Down Image Segmentation
|3D Image Acquisition
|Mesh Alignment I
|Mesh Alignment II
|Combining Multiple Meshes
|Global Shape Representations
|Local Shape Representations
|Object Detection from Range Data
|Medical Image Acquisition
|Submit Your Assignment
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