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The objectives of this course are to introduce fundamental concepts and techniques in basic image processing and computer vision and their applications to solve real life problems. The topics covered include Digital Image Fundamentals, Linear and Shift Invariant (LSI) System for Image Processing, Image Transforms, Image Enhancement, Restoration, Nonlinear Image Processing and Morphological Image Processing, Decision theory, Classification and Machine Learning for Computer Vision. Application examples are also included.
Required first
EE2006Engineering Mathematics IEE2007Engineering Mathematics IiEE2010Signals & SystemsIE2007Engineering Mathematics IiIE2010Signals & SystemsIE2106Engineering Mathematics IIE2107Engineering Mathematics IIIE2110Signals & SystemsIM2004Signals & SystemsIM2006Engineering Mathematics IIM2007Engineering Mathematics IiImage Processing & Computer Vision
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Introduction To Data Science & Artificial Intelligence
IE1005
From Computational Thinking To Programming
IE2104
Digital Electronics
IE2106
Engineering Mathematics I
IE2107
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IE2108
Data Structures & Algorithms In Python
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Signals & Systems
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IE3014
Digital Signal Processing
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