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Lecture
Image processing: Basics and 3D Reconstruction
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Computer Vision: Image Formation and Transformation
Provides an overview of image formation and transformation principles in computer vision.
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Image Processing Fundamentals
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
Deep Learning: Convolutional Neural Networks
Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.
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Covers reslicing, a method to convert 3D datasets into 2D images by extracting intensity values along a line, and its applications in analyzing moving objects and spatial relationships.
Image Processing: Enhancement and Analysis
Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
MultiStackReg: Image Registration and Transformation
Covers image registration and transformation using MultiStackReg plugin in Fiji.
