The first step in our process is to filter the input image. This process helps solve the "busy" sound problem from the vOICe. We decided to first smooth the image with a low pass filter, leaving only the most prominent features of the image behind. We then wanted to filter the result with an edge detector, essentially a high pass filter of some sort. We chose to use a Canny filter for the edge detection. The advantage of using an edge detector lies in simplifying the image while at the same time highlighting the most structurally significant components of an image. This is especially applicable to using the system for the blind, as the structural features of the image are the most important to find your way around a room.






