Subject Details
Dept     : BIO
Sem      : 6
Regul    : R2019
Faculty : Dr Karthika A
phone  : NIL
E-mail  : Karthika.a.ece@snsct.org
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Lecture Notes

UNIT 1:
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Introduction
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Origin
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Steps in Digital Image Processing
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Components
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Elements of Visual Perception
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Image Sensing and Acquisition
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Image Sampling and Quantization
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Relationships between pixels
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Color models
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MATLAB: Image sampling and quantization
UNIT 2:
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Spatial Domain: Gray level transformations
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Histogram processing
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Basics of Spatial Filtering
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Smoothing and Sharpening Spatial Filtering
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Frequency Domain: Introduction to Fourier Transform
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Smoothing and Sharpening frequency domain filters
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Ideal filter
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Butterworth filter
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Gaussian filter
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MATLAB: Analysis of spatial and intensity resolution of images
UNIT 3:
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Noise models – Mean Filters – Order Statistics
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Adaptive filters – Band reject Filters – Band pass Filters
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Notch Filters – Optimum Notch Filtering
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Inverse Filtering – Wiener filtering
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Segmentation: Detection of Discontinuities
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Edge Linking and Boundary detection
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Region based segmentation
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Morphological processing
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Erosion and Dilation
UNIT 4:
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Medical images obtained with ionizing radiation
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Medical imaging modalities
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Images from x-rays
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Images from γ-rays
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Medical images obtained with non-ionizing radiation
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Ultrasound imaging
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Magnetic resonance imaging
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Picture archiving and communication systems (PACS)
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Picture archiving and communication systems (PACS)-II
UNIT 5:
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Computer-aided diagnosis in mammography
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Tumor imaging and treatment
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Angiography
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Bone strength and osteoporosis
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Tortuosity
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Frontiers of image processing in medicine
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Trends
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Functional magnetic resonance imaging
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Molecular imaging