ComputerVision

Collection of projects for my Computer Vision class at Queens College

Projects are run by providing the necessary input.txt data files, and supplementary data.txt files if required.

1. Image Histogram -- a simple project that will create a histogram of all the pixel values of the image
2. Median and Gauss Filter -- removes outliers from a binary image by smoothing it, either with the median filter or gaussian filter
3. Morphology -- cleanses salt/pepper from a binary image using morphological operations Opening and Closing
4. BiMean Gauss -- an automatic threshold selection algorithm to seperate the foreground from the background
5. Connected Components -- an algorithm to identify and label all of the different connected components of a binary image
6. Image Compression Using Skeleton -- an algorithm to compress a binary image by compressing it down to its 'skeleton'
7. Hough Transform -- an algorithm to identify edges of a binary image by entering 'votes' into the hough space.
8. Image Compression Using Chain Coding -- an algorithm to compress a binary image by starting from the top and tracing around its edges recursively.
9. Text Line Detection -- an algorithm to determine where the lines (of text) within a binary image would exist