中文摘要：

红外成像技术广泛应用航空航天、国家防卫、农业工程及医学工程等各个领域，红外图像边缘信息的获取具有重要意义。提出了改进的图像模糊边缘检测算法，首先改变隶属度函数，简化运算量和缩短处理时间。其次，在选取分割阈值过程中引用基于顶帽变换的自适应方法求取不同图像的阈值，使得分割更加准确。实验结果表明，本算法可以保留红外图像更多的低灰度边缘信息，且较传统的Pal-King算法减少了运算时间，可应用于红外目标探测以及红外目标识别等领域。

英文摘要：

With the infrared imaging technology is widely used in the fields of aeronautics and astronautics, the national defense fields, the agriculture engineering and medical engineering fields and so on, the infrared image edge information obtaining is of great significance. An improved image fuzzy edge detection algorithm is proposed in this paper. First, membership functions are redefined to simplify computation and decrease processing time. Secondly, the top-hat transform is used in the selection of segmentation threshold instead of the provisions threshold in the traditional algorithm. The traditional threshold value is improved in order to make the segmentation more accurate. The experimental results show that the lower infrared image gray edge information is preserved via proposed algorithm in this paper. The detecting results are more accurate. The run time is decreased obviously than the traditional Pal-king algorithm. The algorithm in this paper can be used in the fields of infrared target detection and recognition.