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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.
Segmentation: Theory and Algorithms
Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.
Greyscale, Color and Special Images
Explores Greyscale, color, and special image types, bit depths, RGB creation, and file formats.
Digital Image Correlation: Practical
Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.
Image Segmentation: K-means and Color Spaces
Explores image segmentation using K-means clustering and discusses the impact of different color spaces.
LED, Light and Color
Covers the energy and radiation of LEDs, transitions in energy levels, and color synthesis.
Perceptual Robotics: Integrating Vision and Action
Covers the integration of visual perception and robotic actions in embodied AI.
LED Matrix Control with FPGA
Covers the control of a 32x32 RGB LED matrix using a FPGA board.
