This course introduces the basic theories and methodologies of digital image processing. Topics include intensity transformations for image enhancement, two-dimensional discrete Fourier transform, spatial and frequency domain linear image filtering, nonlinear image filtering, binary image processing, detection, segmentation, classification, and pattern recognition. This course gives students the ability to understand the principles of image processing and pattern recognition and develop software for the automatic analysis and interpretation of images and videos.
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