Lectures in course MICRO-511: Image processing I

Image Processing I: Segmentation and Thresholding

Explores image segmentation, thresholding techniques, texture segmentation, and connected-component labeling in image processing.

Image Processing I: Edge Detection and Texture Analysis

Covers edge detection, texture analysis, Canny's algorithm, filterbanks, and segmentation techniques.

Image Processing I: Composition, Pooling, Continuity, and Denoising

Explores composition, pooling, continuity, denoising, and popular CNN architectures for image segmentation in image processing.

Image Processing I: Convolutional Neural Networks

Introduces convolutional neural networks for image processing, covering basic components, architectures, and practical applications, including denoising and segmentation.