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Start Date | No. of Hrs | Time (IST) | Day | |
---|---|---|---|---|
20 Aug 2022 | 28 | 06:00 PM - 09:00 PM | Sat, Sun | |
03 Sep 2022 | 28 | 06:00 PM - 09:00 PM | Sat, Sun | |
17 Sep 2022 | 28 | 06:00 PM - 09:00 PM | Sat, Sun | |
29 Sep 2022 | 28 | 06:00 PM - 09:00 PM | Sat, Sun |
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Image processing is the technique to convert an image into a digital format and process it to get an enhanced image or extract some useful information from it. It overlaps with other technologies and areas such as pattern recognition, machine learning, artificial intelligence, and human vision research. Image processing is widely implemented in organizations in numerous industries, like medicine, industry, military, consumer electronics, etc. MATLAB, which is a platform for solving mathematical and scientific problems, is used to perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing operations. Its built-in algorithms, desktop environment, ability to call external libraries and process both still images and video make MATLAB an ideal choice for Image Processing and computer vision applications.
Image Processing using MATLAB online training is designed to teach participants how to use MATLAB for Image Processing, through highly interactive sessions and extensive course material. Participants learn all the theoretical concepts of Image Processing and their implementation in MATLAB, along with the skills required to develop their own Image Processing application-specific MATLAB programs. At Multisoft Virtual Academy, seasoned trainers, who own extensive experience of working with this high-performance language, provide participants with Image Processing foundations using Matlab and make them proficient in building 2D filters and applying them on the images, by using relevant examples and exercise throughout the program.
Basic knowledge of computer programming and images.
Multisoft Virtual Academy provides certificates of completion to all the aspirants on successful completion of the program.
These digital credentials will allow trained professionals to present a globally-recognized record of their learning to anyone, at any time.