LIE241 Image Processing Using OpenCV

Elective 4:1:0 Course

Course Outcomes: After the end of the course student will be able to

understand image acquisition concepts using sensors and machines.
analyze algorithms for image processing using spatial domain operations.
analyze process image using frequency domain techniques.
apply morphological and segmentation operations.
implement image processing algorithms using open CV library.

Syllabus

UNIT 1

Digital Image Fundamentals: Elements of visual perception, Light and electromagnetic spectrum, image sensing and acquisition, Image sampling and quantization, Basic relationships between pixels.

Introduction to Open CV, Basics, installation, libraries

Image Enhancement in Spatial Domain: Basic gray level transformations, histogram processing, equalization, enhancement, image subtraction, averaging, smoothing and sharpening using spatial filters and their combination.

Image read write, enhancement in spatial domain using Open CV

12 hrs

UNIT 2

Image Enhancement in Frequency Domain: 2dimentional DFT, correspondence between filtering in spatial and frequency domain, smoothing and sharpening using Butterworth and Guassian Lowpass and highpass filters, Convolution, correlation, FFT and IFFT in 2d.

Image enhancement in frequency domain using Open CV 10 hrs

UNIT 3

Color image processing: Color models RGB, CMY, HSI, Color transformations, Smoothing and sharpening, Segmentation in HSI and RGB color space

Basic Morphological Algorithms: Dilation and erosion, Opening and closing, boundary extraction, region filling, extraction of connected components, thinning, thickening and pruning.

Color image segmentation and morphological operations using Open CV

12 hrs

UNIT 4

Image segmentation: Point, line and edge detection (Robert, Canny and Prewitt techniques). Character segmentation, circular object detection using Hough's transform. Segmentation using Open CV functions.

10 hrs

UNIT 5

Case studies: Character recognition, Braile recognition, Signature matching, face detection problems from recent journals 6 hrs

Books

Rafael Gonzalez, Richard Woods, Digital Image Processing, 3rd Edition, 2017, Pearson India
Anil K. Jain, Fundamentals of Digital Image Processing, 2010 Economic Edition,Prentice Hall of India,
Gloria Bueno Garcia, Oscar Deniz Suarez, Learning Image Processing with OpenCV, Packt Publishing Limited, 2015.

MATLAB Files

Tutorial 1: Basic file format conversion
Tutorial 2: Logical ops and histogram
Tutorial 3: Spatial domain filtering
Tutorial 4.1: Frequency domain filtering
Tutorial 4.2 Edge Detection Demo
Tutorial 5: Color Image Processing
Tutorial 6: Iris Boundary Detection

CIE Breakup

3 Tests 20 marks each,

+2 Miniprojects 20 marks