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ECS 173

— Image Processing & Analysis

(4 units)

Techniques for automated extraction of high-level information from images generated by cameras, three-dimensional surface sensors, and medical devices. Typical applications include detection of objects in various types of images and describing populations of biological specimens appearing in medical imagery.

Prerequisites & course information

Course Description: Techniques for automated extraction of high-level information from images generated by cameras, three-dimensional surface sensors, and medical devices. Typical applications include detection of objects in various types of images and describing populations of biological specimens appearing in medical imagery. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Computer Science and Computer Science Engineering Majors only. Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Computer Science and Computer Science Engineering Majors only. Grade Mode: Letter. General Education: Science & Engineering (SE).

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