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| IE 54900 - Machine Vision In Intelligent Robotic Systems |
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Credit Hours: 3.00. Introduction to machine vision and learning algorithms from a human-machine interaction standpoint, and application of machine vision techniques to the design of human-integrated cybernetic systems, such as, robotic systems, flexible automation, and wearable electronics.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: School of Industrial Engr Department: Industrial Engineering Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Analyze and write computer programs to analyze images for tasks such as filtering, edge detection, segmentation, object recognition, and template matching. 2. Describe and use image filtering methods for image processing. 3. Describe and use edge detection methods for image processing. 4. Use morphological operations to perform shape recognition and template matching. 5. Use optical flow methods to study motion. 6. Apply techniques for object tracking and motion detection to analyze multiple images or video. 7. Apply learning methods such as neural networks, clustering, and linear regression for object recognition. 8. Apply a computer vision technique to the control of a robotic arm. 9. Plan and develop a working prototype machine vision interface. Restrictions: May not be enrolled as the following Classifications: Freshman: 15 - 29 hours Sophomore: 45 - 59 hours Freshman: 0 - 14 hours Sophomore: 30 - 44 hours Prerequisites: GR IE 54900 Requisites General Requirements: ( Course or Test: MA 26500 Minimum Grade of D- May not be taken concurrently. ) or ( Course or Test: IE 23000 Minimum Grade of D- May not be taken concurrently. ) or ( Course or Test: CS 15800 Minimum Grade of D- May not be taken concurrently. and Course or Test: CS 15900 Minimum Grade of D- May not be taken concurrently. and Course or Test: CS 18000 Minimum Grade of D- May not be taken concurrently. ) and ( Student Attribute: GR May not be taken concurrently. ) |
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