Description

Image processing has a wide range of real-world applications from fruit harvesting to autonomous vehicles and beyond. The aim of this project is to create a MATLAB program that will identify a stop sign in various backgrounds and lighting conditions from static digital images. This processing could then output information to a theoretical autonomous vehicle, heads-up display, or other driver assistance device in the future. The software first uses color processing techniques to isolate relevant color data (red intensity) from the image. A variety of MATLAB Image Processing Toolbox commands are used to threshold, filter, detect edges, and further process the image. Morphological processing algorithms are applied in order to remove non pertinent data and isolate the stop sign. Shape detection is used to determine if a stop sign is present in the current image (if any). Finally, any relevant sign is highlighted and output to the screen.