Study on the Key Algorithm of Fish-eye Image Directness Processing Based on the Auto-adapt Technology

The circular fish-eye image is imaging by fish-eye lens and it has higher distortion because of its more than 180 degree field of view,so that it has bad processing effect if used some normal digital processing methods.In this paper,the auto-adapt technology was applied in the fish-eye image directness processing algorithm.Through analysis the image with automation,the best parameter would be obtained and the image would have the best processing effect to every image.The theory of key algorithm has been detailed researched and simulated for fish-eye image directness processing like Fuzzy Auto-adapted Median Filter(FAMF),Auto-adapted Renewal Background Subtraction(ARBS),and improved 2D Otsu algorithm for auto-adapted threshold image segmentation.The simulated result of these algorithms indicated that the directness processing algorithm for fish-eye image has higher processing speed and lossless information than traditional method of emend the fish-eye image to normal plane image.The processing effect is achieved the applied request practically and could be used in the super range video intelligent surveillance system.