Image Processing: Smoothing and Filtering

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Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.

Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.

Covers inverse Fourier transform, frequency filtering, segmentation, thresholding, particle size estimation, and analysis using ImageJ.

Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.

Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.

Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Explores image filtering techniques, including linear and nonlinear filters, for artifact removal and feature enhancement.

Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.