CS 430 - Image Processing

5 CR

This course introduces the foundations of image processing such as sampling, enhancement, edge detection, segmentation, image morphology and image compression. Through hands-on experiences, students will use algorithms in a programming language to solve practical image processing problems for different applications.

Prerequisite(s): MATH 208 and admission to Computer Science, BS, or instructor’s permission.

Course Outcomes

Explain current technologies and issues that are specific to image processing systems.
Describe basic principles of digital image processing.
Implement algorithms that perform basic image processing (e.g., noise removal and image enhancement);
Define image operations and use some image processing software tools such as MATLAB Image Processing Toolbox to execute these image operations
Identify algorithms for advanced image analysis.
Assess the performance of image processing algorithms and systems.

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