MAJOR: First image success

The method has to be perfected, but currently the parser is able to successfully identify test images that should work.

This release implements the following new specs:

• BGR -> HSV -> GRAY conversion to get contour finding successful
• Ratio test
• Global variables implemented
• All programs have been compiled successfully
• Main program has been created and test completed
• Parse time reduced to about ~10 seconds on Mac OS X

Test image success

This release marks the first successful test image success. The following describes what is in this release:

• Parser is now a class
• K-Means clustering for color quantization
• Crop image functionality ( to make parsing faster )
• Adjacent object test

Next release specs:

• Ratio processing completed

First Image parse partially successful

• Pseudocode is mostly complete
• Test parser works well and can successfully grab parts of an image from other images

None of this code ( other than the test parser ) has been tested. This is all test code and will need to be greatly improved. During the next release, v0.2, the test parser will be able to successfully parse the current test image and remove false positives and find the object we are looking for.