Image Processing (CIT3501_CA01)

An advanced undergraduate course on digital image processing, covering the theoretical foundations and practical implementation of techniques for image enhancement, analysis, and computer vision. Topics include spatial and frequency-domain processing, color image analysis, multiresolution representations, filtering, mathematical morphology, segmentation, feature detection and description, Hough transforms, and applications in image understanding using Python.

Technologies and Tools

• Programming language: Python
• Libraries: OpenCV, NumPy, Matplotlib, SciPy
• Topics and techniques: Image filtering, histogram processing, Fourier transform, multiresolution analysis, mathematical morphology, image segmentation, Hough transform, feature detectors and descriptors, color image processing, and image enhancement