After all the main work was done, the comparison work should also be completed to observe the actual enhancement of image processing on FPGA board. Moreover, the basic algorithm should be same as the algorithm applied on FPGA board. This also requires a lot of work to complete a new project with different platform, MATLAB. The image from the front camera of laptop will be firstly binarized, then, median filter, erosion and dilation module will be applied to reduce the noise of video. Algorithm of image processing will be shown below.

Figure 1. Algorithm of Erosion

Figure 2. Algorithm of Dilation

Figure 3. Algorithm of Median Filter

The following video shows the final result of MATLAB project.

Moreover, from this video, it can be seen that time delay of CPU-based image processing is significant and its processing speed can't even reach 1 frame per second.

Compared with the performance on CPU, FPGA has significant enhancement because it is able to handle 30 frame per second real-time video processing. Video below can show the actual high performance of FPGA-based video processing system.

In this video, the system can recognize the hand correctly, although the accuracy will be influenced by the noise from OV7670 module. Moreover, this system also obtained the position and size of hand. This will consume more time; however, it still has 30 frames per second processing speed. Hence, these two videos present the high performance of FPGA in image processing area, compared with desktop CPU.

Furthermore, the gap between desktop CPU and FPGA can be quantified and the final result will be shown on following table.

Table 1. Quantified result of devices