Texture: Analysis and Classification

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Visual Intelligence: Machines and Minds

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

Neural Networks: Two Layers Neural Network

Covers the basics of neural networks, focusing on the development from two layers neural networks to deep neural networks.

Computer Vision: Fundamentals and Applications

Covers the fundamentals of computer vision, illusions, challenges, applications, and history.

Fast Fourier Transform

Explains the Fast Fourier Transform, a fast algorithm for calculating the Discrete Fourier Transform.

Image Processing: Smoothing and Filtering

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Image Processing II: DFT, DCT, and Wavelet Transforms

Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.

Deep Learning: Convolutional Neural Networks

Introduces Convolutional Neural Networks, explaining their architecture, training process, and applications in semantic segmentation tasks.

Image Processing I: Ordered Dithering and Fourier Transform

Explores ordered dithering and Fourier transform in image processing.

Convolutional Neural Networks

Introduces Convolutional Neural Networks (CNNs) for autonomous vehicles, covering architecture, applications, and regularization techniques.

Fast Fourier Transform (FFT): Basics and Applications

Covers the Fast Fourier Transform (FFT) algorithm and its applications in computational physics, including image processing, experimental techniques, filters, and analysis of microscopy images.