CERTIFICATE IN COMPUTER VISION AND SECURITY SYSTEM
Description
Computer vision is an interdisciplinary
scientific field that deals with how computers can gain high-level
understanding from digital images or videos. From the perspective of
engineering, it seeks to understand and automate tasks that the human visual system
can do.
· Unit-1:
Introduction
o Components of Vision
o Imaging Systems
o Signal processing for computer vision
o Pattern recognition for computer vision
o Performance evaluation of algorithms
·
Unit-2:
Imaging Optics
o Introduction
o Basic Concepts of Geometric Optics
o Reflection and Refraction
o Multimedia Refraction
o Paraxial Optics
o Lenses
o Definitions: Optical Axis, Cardinal Planes,
Focal Length
o Spherical Lenses
o Aspherical Lenses
o Toroidal Lenses
o Paraxial Lenses
o Thick lenses
o Systems of Lenses
o Matrix Optics
o Optical Properties of Glasses Dispersion
o Technical Characterization of Dispersion
o Aberrations
o Spherical Aberrations
o Coma
o Astigmatism
o Field Curvature
o Distortions
o Chromatic Aberrations
o Reducing Aberrations
o Optical Image Formation
o Geometry of Image Formation
o Depth-of-Field and Focus
o Telecentric Optics
o Wave and Fourier Optics
o Linear Optical Systems
o Optical Transfer Function
Intermediate
·
Unit-3:
Solid-State Image Sensing
o Introduction
o Fundamentals of Solid-State Photosensing
o Semiconductor photo sensors
o Propagation of Photons in the Image Sensor
o Generation of Photo charge Pairs
o Photocurrent Processing
o Photo charge integration in photodiodes CCDs
o Programmable Offset Subtraction
o Programmable Gain Pixels
o Avalanche Photocurrent Multiplication
o Nonlinear Photocurrent to Signal Voltage
Conversion
o Transportation of Photo signals
o Charge-Coupled-Device Photocharge
Transportation
o Photodiode Photocharge Signal Transmission
o Voltage Signal Transmission
o Electronic Signal Detection
§ Signal-to-Noise (SNR) and Dynamic Range
o The basic MOSFET Source Follower
o Noise Sources in MOSFETs
o Electronic Signal Detection
o Architectures of Image Sensors
o Frame-Transfer Charge-Coupled-Devices
o Interline-Transfer Charge-Coupled-Devices
o Field-Interline-Transfer
Charged-Coupled-Devices
o Conventional Photodiode (MOS) Arrays
o Active Pixel Sensor Technology
o Colour Vision and Colour Imaging
§ Human Colour Vision
§ Primary Colours
o Colour Chips and Colour Cameras
o Practical Limitations of Semiconductor Photosensors
o Pixel No uniformity and Dead Pixels
o Sensor Nonlinearity
·
Unit-4(Part-1):Representation
of Multidimensional Signals
o Introduction
o Types of Signals
o Continuous Signals
o Some Types of Signals g Depending on D
Parameters
o Unified Description
o Multichannel Signals
·
Unit-5:
Fuzzy Image Processing
o Introduction
o Basics of Fuzzy Set Theory
o Fuzzy Logic
o Defuzzification
o Fuzzy Logic versus Probability Theory
