#3770 Σ0ρλδ!!

This week was devoted in learning how to extract lines, contours and components of images. Day 46: Detecting Image Contours with the Canny Operator Day 47:  Detecting Lines in Images with the Hough Transform Day 48: Fitting a Line to a Set of Points Day 49:  Extracting the Components & Contours Day 50: Computing Components & Shape Descriptors

This week using morphological operations, image transformations were done and use of filters on them. Day 41: Opening and Closing Images using Morphological Filters Day 42: Detecting edges and corners using morphological filters Day 43: Filtering Images using Low-pass Filters Day 44: Filtering Images using a Median Filter Day 45: Applying Directional Filters to Detect Edges

This week was spent on learning how to count pixels using histograms. Day 36: Computing the Image histogram Day 37: Equalizing the image histogram Day 38: Backprojecting a Histogram to Detect Specific Image Content Day 39: Using the Meanshift Algorithm to Find an Object Day 40: Retrieving Similar Images using Histogram Comparison

This week we learnt how to process images with classes. It helps in revisiting some important concepts of C++ as well. Day 26 - 28: Using strategy pattern in Algorithm Deesign Day 29 - 30: Converting colour spaces. 

This week we have learnt to manipulate pixels in images. Day 26: Accessing pixel values Day 27:Scanning an image with pointers and iterators Day 28: Writing efficient image scanning loops Day 29: Performing simple image arithmetic Day 30: Defining regions of interest

For next 7 weeks, we will learn the basics of OpenCV and how to use it to develop applications. For a CS student like me, what matters more than theoretical knowledge is practical knowledge. People with theoretical knowledge are dimes a dozen while those with practical knowledge and innovative ideas are one in a million. The best source  to learn OpenCV for beginners is :  http://www.laganiere.name/opencvCookbook/ This week we have done following tasks: Day 21: Installing OpenCV2 Library on Windows Day 22: Setting up Visual Studio and windows. Day 23: Creating First OpenCv Project Day 24: Loading, displaying and saving images Day 25:Working with Qt