Notes And Study Material for Exam Papers

Digital Image Processing –DIP- LAB 2 Objective: Introduction to image processing functions in Matlab. Fundamentals: A digital image is composed of pixels which can be thought of as small dots on the screen. A digital image is an instruction of how to color each pixel. Image Processing Toolbox: Overview The Image Processing Toolbox provides a comprehensive set of reference-standard algorithms and graphical tools for image processing, analysis, visualization, and algorithm development. You can restore noisy or degraded images, enhance images for improved intelligibility, extract features, analyze shapes and textures, and register two images. Most toolbox functions are written in the open MATLAB® language. This means that you can inspect the algorithms, modify the source code, and create your own custom functions. The Image Processing Toolbox supports engineers and scientists in areas such as biometrics, remote sensing, surveillance, gene expression...

Digital Image Processing (DIP) Lab 1 Title: Writing and Running Programs with Matlab. Problem 1.1. Using the Matlab editor/notepad editor generate the following two data files. The first data file you should save under the name winter_rain.dat. It should contain the following values: 5 2.5 6 3.3 7 2.4 8 3.2 9 3.6 10 2.7 The first data file you should save under the name summer_rain.dat. It should contain the following values: 11 2.5 12 2.3 1 2.4 2 1.8 3 1.6 4 2.4 Both data files should be stored in the same directory for example ~/Labs/ The first column of each file denotes the month (for example 5 corresponds to May) and the second column gives the average monthly rain water level in milimeters. Problem 1.2. Using the Matlab editor write a Matlab program performing the following operations: 1. Reads the from file winter_rain.dat into array winterdata 2. Reads the from file summer_rain.dat into array summerdata...