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Lecture
Image Filtering Introduction
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Related lectures (30)
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Frequency Response Analysis: Linear Systems and Filters
Covers the frequency response of linear systems and filter design principles.
Image Processing: Segmentation and Measurements
Covers inverse Fourier transform, frequency filtering, segmentation, thresholding, particle size estimation, and analysis using ImageJ.
Analog Filters: General Synthesis and Transfer Functions
Explores analog filters, rational transfer functions, and stability analysis of causal systems.
Filters: Frequency Selective
Covers frequency selective filters, focusing on a simple low-pass filter example and its practical applications.
Fourier Series and Analysis
Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.
Image Processing Techniques
Covers adjusting brightness, contrast, applying filters, and analyzing Fourier transforms for image enhancement.
Image Filtering: Summary
Covers the fundamental principles of image filtering in biomedical analysis.
Discrete Signals & Fourier Transform
Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.
Fourier Series and Transforms: Introduction and Properties
Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.
X-ray Tomography: Fourier Slice Theorem
Delves into the Fourier Slice Theorem in X-ray tomography, explaining the relationship between 1-D and 2-D Fourier Transforms and techniques to enhance image quality.
