利用模糊综合评判技术提取红外图像海天线

海天线检测是红外图像自动目标识别技术的一项重要内容.本文深入分析了海天背景红外图像的特点,提出了一种基于四项特征评分因子的海天线模糊识别算法.首先对梯度图进行Radon变换以提取候选海天线,然后联合候选海天线四种特征信息进行模糊综合评判,最后根据评判值大小给出海天线识别结果.算法对比和实测数据结果表明,该方法适用范围广,抗噪声和抗干扰能力强,识别率高,可以有效地检测出各种复杂海天背景下的海天线,为进一步应用(如目标识别)奠定了良好的基础.

Sea-sky-line Extraction in Infrared Images Using Fuzzy Synthetical Judgment

Sea-sky-line detection is an important component involved in infrared image Auto Target Recognition (ATR) techniques. Through analyzing the characteristics of infrared images under sea-sky background, a fuzzy recognition algorithm is proposed based on four feature score factors. Firstly, Radon transform is performed on gradient images in order to choose sea-sky-line candidates. Secondly, fuzzy synthetical judgment is made combining information of 4 specific features. Finally, sea-sky-line recognition result is given according to the judge values. The algorithm comparison and real data test results show that this method is widely applicable, powerful in resistance to interferences and noises and has a high recognition rate, which can be used to effectively extract sea-sky-lines under complex backgrounds, thus lay a good foundation for further application such as target recognition.