Lectures related to Channel (digital image)

Explores Greyscale, color, and special image types, bit depths, RGB creation, and file formats.

Covers the energy and radiation of LEDs, transitions in energy levels, and color synthesis.

Introduces the PONG Project in Digital System Design, focusing on developing a custom digital circuit for a PONG game with a Mandelbrot background.

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Image Processing in Python: Manipulation and Convolution Techniques

Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.

Image Processing Techniques: Seam Carving and Pixel Manipulation

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.

Image Formation: Understanding 2D Projections from 3D Scenes

Explains the principles of image formation, covering light projection, digitization, and the pinhole camera model.

LED Matrix Control with FPGA

Covers the control of a 32x32 RGB LED matrix using a FPGA board.

Hydroacoustics for Hydroelectric Installations

Explores hydroacoustics for hydroelectric installations, emphasizing characteristics methods and sound feature analysis.

Image Segmentation: K-means and Color Spaces

Explores image segmentation using K-means clustering and discusses the impact of different color spaces.

Perceptual Robotics: Integrating Vision and Action

Covers the integration of visual perception and robotic actions in embodied AI.

Notation and key concepts

Covers the notation and key concepts related to digital images and 2D signal representations.

Segmentation: Theory and Algorithms

Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.

Image Processing: Basics and Techniques

Introduces image processing basics, covering vector vs matrix images, RGB color system, grayscale, and image manipulation libraries.

Color & Color Models

Delves into various color spaces, Color Deconvolution, and analyzing Whole Slide Images.

Augmented Reality Sandbox

Covers the Augmented Reality Sandbox, exploring depth-sensing equipment, dichotomies, Python scripting for 3D interactions, and hardware performance measurement methods.