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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.
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
Covers the basics of image processing and implementing seam carving algorithms for image resizing.
Introduces image processing basics in Python, covering manipulation, grayscale conversion, edge detection, and convolution with kernels.
Delves into photography style transfer, showcasing how algorithms can transform images to mimic different styles and enhance photos.
Covers information, memory, glyphs, writing systems, digital images, physical and morphological connections, 3D shapes, and the challenges of computational processing.
Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.
