A false color image fusion algorithm based on HSI color space for different sensors was proposed.
提出了一种基于HSI空间的假彩色异类传感器图像融合算法。
This thesis focused on the algorithms of the pixel-level fusion process, including simple image fusion methods, multi-resolution image fusion methods and false color image fusion methods.
本文重点研究像素级多传感器图像融合算法,包括简单图像融合方法、多分辨率图像融合算法和伪彩色图像融合算法。
Because of geometry and color differences, the traditional image fusion method usually obtains faint result or false boundary.
由于图像拍摄时的几何差异和色彩差异,传统融合技术往往出现模糊或假边界。
Several image fusion algorithms, such as contrast modulation fusion, false color fusion and wavelet transform fusion have been adopted to realize the fusion of visual and infrared images.
采用了几种图像融合算法如对比度调制融合、伪彩色融合和小波变换融合法,实现了对红外和可见光图像的融合。
Several image fusion algorithms, such as contrast modulation fusion, false color fusion and wavelet transform fusion have been adopted to realize the fusion of visual and infrared images.
采用了几种图像融合算法如对比度调制融合、伪彩色融合和小波变换融合法,实现了对红外和可见光图像的融合。
应用推荐