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Lecture
Image Processing: Basics and Techniques
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Related lectures (32)
Notation and key concepts
Covers the notation and key concepts related to digital images and 2D signal representations.
Image Processing in Fiji
Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
Image Processing Basics
Introduces image processing basics in Python, covering manipulation, grayscale conversion, edge detection, and convolution with kernels.
Greyscale, Color and Special Images
MOOC: Image Processing and Analysis for Life Scientists
Explores Greyscale, color, and special image types, bit depths, RGB creation, and file formats.
Image Acquisition
Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.
Illustrator Poster Creation
Covers the creation of a poster using Illustrator, focusing on color, layers, opacity, and file management.
Illustrator Image Preparation
Covers the preparation of a bitmap image in Photoshop for integration into a vector board in Illustrator.
Image Processing Basics
Covers the basics of image processing and implementing seam carving algorithms for image resizing.
Image Processing in Python: Manipulation and Convolution Techniques
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Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.
Image Processing Techniques
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Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Image Processing: Enhancement and Analysis
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Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
Segmentation: Theory and Algorithms
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Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.
Image Processing: Smoothing and Filtering
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Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Image Processing: Practical
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Covers practical image processing using Fiji software, emphasizing data quality importance.
Digital Image Correlation: Practical
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Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.
Memory Management & Crash Programs
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Covers memory management for engineers, focusing on crash programs related to memory access errors.
Image Processing Fundamentals
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Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
High Dynamic Range Imaging: Algorithms and Techniques
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Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.
Reconstructing Color Images: Techniques and Applications
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Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.
Computer Vision Basics: Image Processing and Feature Detection
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Covers the basics of computer vision, focusing on image processing techniques and feature detection.
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