Thursday, 27 September 2012
It’s true. I found these from Dr. Vincent Pegoraro’s Assignment no. 4 for CS 7966. They are called Hough Transforms.
Ethereal, I know. Not only do they look absolutely gorgeous, they are also an useful feature extraction technique for identifying lines or curves in an image. It works like this: imagine all the pixels in an original image (a) are sorted by a sift (b) such that only pixels that lie on a certain line can pass through. These pixels are then collected in a designated spot on the transformed image(c). Repeat this for all the lines you can possibly draw in this 2D space – every direction and every position. What you get at the end is a Hough Transform (c).
|Fact: Hough Transform sorts image pixels into a gorgeous picture.|
In case you were wondering, here are the original images for the beauties above.
Ever since I first learned about this in class (oh, so many years ago), these waves lingered in my mind. I’ve always wanted to use this concept to create something beautiful. To me, the combination of waves resembles buildings and city skylines. They are the unique signature and blend of characteristics that make up each city or landmark. That’s why, as an homage to Joseph Fourier who taught in Paris in the 1790s, I chose to do a composition (or decomposition) of the romantic Paris skyline.