Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
Introduces image processing basics in Python, covering manipulation, grayscale conversion, edge detection, and convolution with kernels.
Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.
Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
