Color Image Processing

Color Image Processing is our 4th Exercise. The objective of this exercise is to detect an object using color spaces. For this exercise our object is a pig with green tag. We need to detect the pig and the green tag.

I use HSV color space for detecting the green tag and YCRCB color space for detecting the pig. The range of minimum and maximum for the pig detection is hardcoded. I use this http://www.wseas.us/e-library/conferences/2011/Mexico/CEMATH/CEMATH-20.pdf as reference for detecting the pig.

I cleaned the images using opening method with a kernel size of 20.

Here are my sample outputs detecting the green tag:

Some bad outputs detecting the pig:

The rest of the pig detection are okay:

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Document Layout Analysis

Document Layout Analysis is our second exercise. Using the three images above our program needs to do the following: Individual characters are boxed Individual words are boxed Lines are boxed Paragraphs are boxed The paragraphs with margins I used a bottom-up approach for this exercise. It means that I started detecting and boxing the letters to words to line to paragraph and lastly to the paragraph with margin. I created a function for each of the objectives. I used a trial and error approach for determining the appropriate kernel size for the specific function. I have a very simple step for every objectives: Load the images. Assigning of output images Convert images to grayscale Cleaning the images using Otsu's Thresholding method. (with the inversed binarized image) Assigning kernel size (1 or 2 kernels depending in the objective) Morphological Operations (Dilation, Erosion, Closing and Opening) Find the Contours Box the contours (I added some offs

Installation of Windows Subsystem for Linux

Disclaimer: This is the first release of Bash in Windows. It is in "Beta" version meaning it is not complete. Some things will work and some things will not. Prerequisites: Your PC must be running a 64-bit version of Windows 10 Anniversary Update build 14393 or later. To find your PC's CPU architecture and Windows version/build number, open Settings>System>About . Look for the OS Build and System Type fields. If your build is below 14393, try checking for updates Installation In order to run Bash on Windows, you will need to manually: Turn-on Developer Mode Enable the "Windows Subsystem for Linux (beta)" feature via the GUI or the command-line: Turn-on Developer Mode Open Settings -> Update and Security -> For developers Select the Developer Mode radio button This will take a while depending on the speed of you internet connection. Enable the Windows Subsystem for Linux feature (GUI) From Start, search

Upgrading your LAMP Stack to PHP 7 plus PHPMyAdmin Installation

First install python-software-properties package on your system which provides add-apt-repository command then use the following set of commands to add PPA for PHP 7 in your Ubuntu system and install it. sudo apt-get install python-software-properties sudo LC_ALL=en_US.UTF-8 add-apt-repository ppa:ondrej/php Then, remove PHP 5 and install PHP 7. sudo apt-get update sudo apt-get purge php5-common -y sudo apt-get install php7.0 php7.0-fpm php7.0-mysql -y sudo apt-get --purge autoremove -y You may also need to install modules like PHP7-MySQL, libapache2-mod-php7.0 etc based on your application requirements. Use the following command to find our available php 7 modules. sudo apt-cache search php7-* Above command will list all available PHP7 modules for installation, Let’s begin installation of modules. sudo apt-get install libapache2-mod-php7.0 php7.0-mysql php7.0-curl php7.0-json php7.0-mbstring php7.0-mcrypt php7.0-gd *Installing PHPMyAdmin Change directory to /usr/sha

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