Author : A.Sanyasi Rao 1
Date of Publication :22nd February 2018
Abstract: Digital Image Processing techniques can enhance or distort an image, highlight certain features of an image create a new image from portions of other images, restore an image that has been degraded during or after the image acquisition. This paper envisages the implementation of basic features of Image Processing like viewing the red, green and blue components of a colour image separately, converting image to gray, black & white, negative; image addition & joining, comparison, crop, resize, increase/decrease brightness, rotate and edge detection using different algorithms etc. Also, it deals with accessing Webcam and getting a snapshot of it to process
Reference :
-
- Digital Image Processing - Ikvinderpal Singh (1st Edition – 2015).
- Digital Image Processing using MATLAB - Rafael C.Gonzalez, Richard E.Woods& Steven L.Eddins.
- Digital Image Processing And Analysis – B.Chandra & D.Dutta Majumder.
- Digital Image Processing (Implementation using MATLAB) – Ashish Jain
- Alasdair McAndrew, in ‘An Introduction to Digital Image Processing with Matlab, Notes for SCM2511 Image Processing 1’, School of Computer Science and Mathematics ,Victoria University of Technology
- Justyna Inglot, ‘Advanced Image Processing with Matlab’, in Bachelor’s Thesis Information Technology, May 2012, Date of the bachelor's thesis 07.05.2010 ,Mikkeli University of Applied Sciences