Infrared Image Airport Runway Water Identification Method Based on the Fusion Algorithm of Canny Operator+Fuzzy C-means Clustering
To address the problem that water color image processing result is greatly affected by illumination changes,especially in bad weather.Based on infrared image a method of identifying water accumulation area was proposed,which overcame the limitation of color image processing method by illumination conditions.Further,a fusion algorithm for detecting the edges of infrared image water accumulation based on the Canny operator and fuzzy C-means clustering was proposed to solve the blurred edges and lack of clear temperature distribution laws in infrared imaging water accumulation.The results show that the algorithm achieves a good extraction effect on the fuzzy boundary,and the error between the image segmentation result and the actual area marked by manual is less than 7％.The ratio of pixels can quickly and accurately obtain the water accumulation area,which provides quantitative support for the evaluation of the wet runway surface condition and provides effective technical support for the safe operation of the aircraft on the wet runway surface.
water areainfrared thermal imagingedge extractionfuzzy C-means clustering
万方数据
维普
