Explore the world of image processing for engineering and science in this comprehensive specialization. Learn to detect and analyze regions of interest, reduce noise, and improve contrast in images and videos using MATLAB. Throughout the program, you will work on real-world applications, such as analyzing arctic ice melt, evaluating MRI images, detecting cracks in structures, and studying traffic flow.
With a focus on practical applications, you will gain hands-on experience in automating image processing tasks and scaling algorithms to analyze large datasets and videos. The course also provides free access to MATLAB for the duration of the specialization, ensuring you have the necessary tools to complete your projects.
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This specialization consists of three modules that cover a range of topics, including image analysis, segmentation, noise reduction, and automating image processing tasks. Gain practical skills in detecting and analyzing regions of interest, improving image contrast, and applying algorithms to large datasets and videos.
Learn about the fundamentals of image processing, including the analysis of common image datatypes, object detection, and image contrast improvement. Dive into a project analyzing Antarctic ice melt in satellite images, gaining practical experience in real-world applications.
Delve into the techniques of image segmentation, filtering, and region analysis. Explore spatial filters, morphological operators, and 3D image segmentation, and use interactive tools for rapid testing and code generation. Apply these skills to projects involving MRI image analysis and video segmentation.
Master the automation of image processing tasks, including the application of algorithms to large image datasets and videos. Gain expertise in analyzing processing results, calculating statistics, and completing a specialization-level project focused on detecting cars in a noisy video.
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