0 or 3 credits
Fall 2025 Laboratory Lecture Upper Division
This course provides fundamental knowledge of integrated computer imaging or vision systems for sensing, quality control and automation applications. Fundamental basis of optics, illumination, camera types with associated technologies, and image acquisition to develop a customized computer imaging or vision systems will be covered. Algorithms for image processing, image analysis and pattern recognition will also be covered. Emerging technologies-based integrated computer vision or imaging system for sensor system, inspection, quality control and automation in different sectors (medical, manufacturing, security, construction etc.) will be examined. Parallel laboratory hands-on experience will allow the students to apply and validate the concepts learned in the lecture.
Learning Outcomes1Identify different components of a computer vision/imaging system and their needs.
2Identify and specify different components of a computer imaging system for selected different applications.
3Interpret and implement different operations related to image processing, image analysis and image understanding.
4Evaluate different real-world case studies to learn from successes and failures related to computer imaging system-based devices or components.
5Formulate or create tentative solution for selected real world applications.
Prerequisites
made by Purdue students.