The Research Of Fog-degraded Image Processing Method Based On The Adaptive Genetic Segmentation Algorithm

In fog conditions, the image contrast and color which obtained by the outdoor video surveillance systems will have a serious degradation, it makes many important monitoring systems in the civilian or military areas can not work correctly. So in the computer vision systems, it is necessary to introduce the work mechanism which can not only effectively process the image, but also can recover the image to reduce the impact of weather on image quality. In order to make video surveillance systems always operate normally in bad weather, it need improve the robustness and reliability of outdoor surveillance systems, so it is significant to research the image restoration method in the fog condition.This paper uses the adaptive GA to segment the fog image, and processes the segregated results so the fog image is recovered effectively. The research of this paper includes the works:1. Because of the optimization features, this paper adopts the genetic algorithm to the best entropy algorithm, Otsu method and the Fisher criterion function segmentation algorithm, and proposes the best-entropy-based genetic segmentation algorithm, the Ostu-based genetic segmentation algorithm and the genetic segmentation method based on Fisher criterion function segmentation algorithm. Through the experiments comparison, the real-time advantage of the genetic segmentation method based on Fisher criterion function segmentation algorithm is superior to the other methods.2. In order to reduce the chances falling into the local minima and enhance the global search ability, this paper proposes the adaptive GA based on the Fisher criterion function. Through the simulation experiments, it can obtain the best genetic operators, and by using the method which proposed in this paper to segment the fog image, the segregated results of fog is accurate and the image is divided into two parts.3. As fog have such characteristics: the establishing shot is a gray-scale distribution of some more concentrated and closer to the sky brightness of the region, while the close shot can tell in misty image and the gray-scale distribution is relatively balanced distribution and more clearly. For those two parts, the histogram equalization and the recovery approach based on the McCartney model is used separately. After the comprehensive treatment, the image is recovered well. The experiment shows that the method proposed above is very effective to improve the degradation of images and can enhance the clearness of images. Moreover, using the method to process the image taken in various weather, through the simulation experiments and comparing the results ,it can verified the practicability of the recovery method based on McCartney model to process the establishing shot.Finally, through summarizing the work, the further study is proposed to be the key technology and development.