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Image Processing Techniques
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Related lectures (31)
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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.
Fast Fourier Transform (FFT): Lecture 4
Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.
Image Processing: Smoothing and Filtering
Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Frequency Response of LTI Systems
Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.
Image Processing in Frequency Space
Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.
Fourier Filters: Techniques for Image Processing
Covers Fourier filtering techniques using the 4F system for image processing and enhancement.
Signals, Instruments, and Systems: System Properties and Transforms
Introduces system properties, Laplace Transform, and analog filters for signal analysis.
Image Filtering Introduction
Covers the fundamental principles of image filtering and its applications in bio-medical image analysis.
Fourier Transform Applications: Image Processing Basics
Covers image processing basics, Fourier transformation, convolution, cross-correlation, and 3D reconstruction using the Radon projection theorem.
Image Processing Techniques
Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
