## 4 Experiment and Result Analysis
### Application Analysis  
Now that the proposed algorithm showed favorable results for energy consumption and execution time, we also conducted a physical experiment using color sensors to verify the feasibility of using fusion to generate accurate results. As shown in Figure 23, a computer processes and stores images. The camera takes pictures. Section B is the shooting area in the form of a template coated with pigment. Thermal ink measures the color temperature for every color value. Figure 21: Effect of node density on number of hops. Figure 22: The expected arrival rate of nodes with different speeds. Figure 24 shows the image fusion process. From the experimental results, these five sets of images can well separate foreground and background in accordance with the proposed algorithm. In Figure 24a,b, the foreground has a lot of colors, the background is sky. Though in Figure 24a a small portion of foreground is divided into the background, but it doesn't affect the segmentation results. Figure 24c,d have a little problem with the foreground, cloud is divided into the foreground by mistake. In Figure 24e, the background is similarity to the hair of the woman, and there is a lot black. Hair is divided into the foreground well and black is keep. For each row, the image on the left is the original image, the image in the middle is the foreground part of the image, and the image on the right is the background of the image. The colored section in the foreground and the background are the parts we want. The images show on a screen as in Figure 23, where an area of thermal ink that changes with the surrounding light surrounds an area of standard color. The camera takes long-distance pictures and transfers them to the image acquisition card. The proposed algorithm processes the images and sends them to the computer. The fragmented area holds only thermal ink and standard color, and can detect color value. After color correction of thermal ink color and standard color (since light affects color), we finally obtain the correct color value. We can obtain the temperature value by relating the thermal ink color value and color temperature. Before data collection, we also considered other influences--day and night, cloudy and sunshine, for example. They change the image appearance. We have put forward a measure for this problem. We use a high-resolution camera with image stabilization to reduce any added noise effect in the images. The acquisition card is a device for image storage and transmission, and it must have stability and high memory. First, the images need to be pre-preprocessed, where we reduce the influence of noise by using the median filter method. Second, we separate the images with the proposed algorithm. The result is a measuring area and we detect the two-color values in the split images. Finally, we get the precise color value after color correction. We use a temperature test system based on our solution on an island to collect real temperature changes between sunny and cloudy days. Furthermore, we show the contrast between the test temperature and the actual temperature. Figures 25 and 26 show the temperature change contrast curves of the sunny day and the cloudy day. The test results show that the sunny day test temperatures are slightly higher than the actual temperature, and the cloudy day test temperatures are slightly lower than the actual temperature due to the less light intensity. The change speed of thermal ink is a little slower on the cloudy day, but its impact on the color sensor sensitivity is negligible. Finally, the test temperature error of both the sunny day and cloudy day is acceptable for the needs of weather reports. According to the above analysis of the test result, we show that the real-time character of thermal ink fully meets needs of weather report applications. The temperature change of test results is  
Figure 23: An application of color sensor. consistent with and the actual temperature change independent of the presence of sunny or cloudy days.