Traffic sign recognition test
For the traffic sign recognition test, the traffic sign recognition user
interface named Traffic Sign Recognizer (TSR) is developed. The new GUI
for traffic sign recognition is being built on top of the polygon
detection algorithm that I introduced at Traffic sign feature
extraction. The manual
region selection function is additionally introduced. Below screen shot
shows one example that TSR recognized the school warning sign
successfully. 
Image:tspr_extracted_region_after_boundary_removal.png|Extracted region after boundary removal Image:tspr_resized_image.png|Resize image to 200x200 Image:tspr_colordecomposition.png|Re-sample colors into 7 main traffic sign colors Image:tspr_binarization.png|Binarization for the line crossing state generation
The summary of the recognition algorithm is following. Once a polygon of
interests is selected. The region of interests is extracted from the
image by classifying the background (repainted with the background
color) and foreground (traffic sign area). After, it is resized to
200x200 for the normalized line cross checking. Since the number of
colors used in the traffic signs are limited, we perform the color
decomposition. Finally, the target image is binarized based on the
computation of its dominant color as the background color and others as
foreground colors. This binarized image is used for computing the line
crossing states.
