Reference No: 8891005
Credits: 3
Prerequisite: EE 528. Digital Signal Processing
This class introduces the area of computer vision. In computer vision, the processed images are for use by a computer, while in image processing, the output images are used directly by humans. This course will cover image understanding techniques that are classical to computer vision. The course will present standard techniques, such as segmentation of images, as well as the latest state-of-the-art techniques, such as combining virtual reality with computer vision.
There will be a project in the class that you can either choose yourself (related to your research, for example), or with help from the instructor. No programming will be required for the class.
Topics may include but are not limited to:
Image understanding/computer vision techniques. Image-to-image and high-level image-to-representation transformations are used to provide explicit, meaningful descriptions of objects in images at various levels of abstraction. Image algebra. Segmentation techniques: boundary, region, texture. Geometrical descriptions: Euler number, connectivity. Relational descriptors: scene labeling, string grammars, similarity measures. Color image processing.
CONTACT PROF. DAVIDSON FOR FURTHER INFORMATION
.Phone: 294-2941 davidson@iastate.edu