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2DAY INTENSIVE AND PRACTICAL COURSE ON DIGITAL IMAGE PROCESSING USING MATLAB By Dr Alasdair McAndrews School of Computer Science and Mathematics Victoria University, Australia Kuala Lumpur: 27 & 28
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Start by understanding the basics of digital image processing such as image acquisition, enhancement, restoration, and compression.
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Familiarize yourself with various digital image processing techniques such as filtering, segmentation, morphological operations, and feature extraction.
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Learn how to use popular digital image processing software and programming languages like MATLAB, Python, or OpenCV.
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Digital image processing is using algorithms to perform image enhancement, segmentation, and other operations on digital images.
Individuals or organizations that work with digital images and require specific processing techniques.
Digital image processing can be done using software such as Adobe Photoshop or MATLAB, where users can apply various filters and operations to manipulate the images.
The purpose of digital image processing is to improve the visual quality of images, extract useful information from them, or perform specific tasks like object recognition.
The information that must be reported includes the techniques used, parameters applied, and the results obtained from processing the digital images.
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