Representation & Modeling for Image Analysis OpenCourseWare: Free Graduate Level Online Image Analysis Course by MIT

Published Jan 11, 2009

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Learn about the methods that can allow computers to analyze images in this free OpenCourseWare offered by Massachusetts Institute of Technology. 'Representation & Modeling for Image Analysis' details several of the ways in which computers can be programmed to 'read' visual data and extract important elements. This free online course can be beneficial to students pursuing Computer Science or Mathematics degrees at the graduate level.

Representation & Modeling for Image Analysis: Course Specifics

Degree Level Free Audio Video Downloads
Graduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes No

Representation & Modeling for Image Analysis: Course Description

Computer image analysis is a technological field with a wide range of applications, from cameras with facial recognition software to medical instruments capable of scanning and modeling the human body. This OpenCourseWare from MIT in Cambridge explores several techniques used by computers to analyze images and pull out relevant objects and information. Professor Polina Golland presents a series of lectures examining such methods as boundary detection, expectation-maximization and clustering used for representing and estimating data. The course covers both the mathematical theory behind these concepts as well as ways they are used in practical application. For each algorithm or other topic discussed in class, students will read several journal articles or technical papers on the subject. This helps students to further their understanding of the material each lecture covers as well as to help them understand the real-world applications of these technologies. This course is recommended for those students working toward master's degrees in Computer Science, Mathematics or Biomedical Engineering.

Lecture notes, links to reading material, and sample final reports from past students are provided with this free online course. If you're interested in learning more, visit the representation & modeling for image analysis course page.

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