摘要
以红外热监控技术在森林火警中的研究为背景,针对森林红外热图像低对比度、噪声大的特点,提出了用傅里叶变换理论对森林红外图像增强。分别用理想低通滤波器、巴特沃斯高通滤波器和同态滤波器对图像做了增强。结果对比后得出,同态滤波克服了低通滤波和高通滤波的缺点,图像细节和对比度得到明显增强。并进一步优化了同态滤波器中的指数型滤波函数,仿真结果表明,优化后的指数型滤波函数对森林红外图像有更好的增强效果,能提供更满意的图像。
With the background of infrared monitoring technology applied in forest fire in forest, as the image characteristics of low contrast and great noise, the method of using Fourier transform is proposed to strengthen the picture in frequency domain.The forest infrared thermal image is enhanced by the ideal low-pass filter, Butterworth high-pass filter and homomorphic filter, respectively, with. According to the comparison, homomorphic filter overcomes the defects of the low pass and high pass filter and enhances details and contrast of image. An enhanced index homomorphic filtering function has been explored. Both the theory analysis and the experimental results show that the method can improve the definition of image and make more satisfactory image.
出处
《红外技术》
CSCD
北大核心
2015年第1期29-33,共5页
Infrared Technology
关键词
图像增强
傅里叶变换
红外图像
滤波器
image enhancement, Fourier transform, infrared image, filter
