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At the end of course , the student will be able to:
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Bloom’s Level
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CO1
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Infer the basics and fundamentals of digital image processing and Apply the various techniques for intensity transformations functions. Implement Color image Smoothing and Sharpening. |
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CO2
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Illustrate Morphological operation and Apply Some Basic Morphological Algorithms. |
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CO3
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Apply image segmentation techniques such as Optimum Global Thresholding using Otsu’s Method, Active Contours: Snakes and Level Sets for various real-time applications. |
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CO4
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Analysis various Feature Extraction methods and Implement for various real-time applications. |
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CO5
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Apply and Analysis various Image Pattern Classification methods such as MinimumDistance Classification, Optimum (Bayes) Statistical Classification, and Deep Convolutional Neural Network. |
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