复杂航空图像中的大边缘提取方法

提出一种用于在复杂的航空照片中抑制细小边缘，获取主要景物边缘信息的新方法。该方法首先对图像进行中值滤波和对比度展宽，以去除图像中的噪声，提高了图像的清晰度，为了清除图像中的细小目标，提出了一种基于最大偏差最小的领域平滑法。在边缘 取时采用了梯度算子，并引入了模糊理论来判别和跟踪边缘。

The big edge detection of complicated aerial images

A new algorithm for edge detection is proposed. The main difference between this algorithm and other existing algorithms is that small edges are restrained while the edges of big objects are obtained. The first step of this algorithm is pretreatment, which includes median filtering and contrast extending. The procedure of the median filtering and the filtering window are described. Second, we develop a neighbor smoothing algorithm, which is based on the fact that the maximum deviation is minimum, to eliminate the small object in the image. The smoothing procedure includes steps 1 to 5. Then we employ the gradient operator and fuzzy theory to judge and trace the edges. The member function of fuzzy set and its analytic form are both given. The judgement function, which is used as the criterion for edge points is also described. The experiments show that when we are handling the complicated aerial images, the main edges are obtained while the small edges are restrained.