Lecture Notes || SNS Courseware

Subject Details

Dept : BIO

Sem : 6

Regul : 2019

Faculty : Dr Karthika A

phone : NIL

E-mail : Karthika.a.ece@snsct.org

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Lecture Notes

UNIT 1:

Introduction

Origin

Steps in Digital Image Processing

Components

Elements of Visual Perception

Image Sensing and Acquisition

Relationships between pixels

Image Sampling and Quantization

Color models

UNIT 2:

Spatial Domain: Gray level transformations

Histogram processing

Basics of Spatial Filtering

Smoothing and Sharpening Spatial Filtering

Smoothing and Sharpening frequency domain filters

Ideal filter

Butterworth filter

Gaussian filter

Frequency Domain: Introduction to Fourier Transform

UNIT 3:

Noise models – Mean Filters – Order Statistics

Adaptive filters – Band reject Filters – Band pass Filters

Notch Filters – Optimum Notch Filtering

Inverse Filtering – Wiener filtering

Segmentation: Detection of Discontinuities

Edge Linking and Boundary detection

Region based segmentation

Morphological processing

Erosion and Dilation

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