摘要
文章从人的视觉系统出发提出一种新的基于HSI空间伪彩色异类多传感器图像融合方法,可以用于解决异构多传感器的图像融合问题,在HSI色彩空间可以大大简化图像分析和处理的工作量。图像融合仿真实验充分验证了该方法可以帮助在人眼和机器识别下克服了由RGB空间伪彩色法造成的融合图像分辨率的下降,同时保留了异类传感器的完整信息,仿真实例证明该算法得到的融合图像的灰度图像其空间分辨率,该算法利于人眼的判读和机器的识别,具有较大的应用价值。
Present a novel heterogeneous multi-sensor image fusion method based on HSI pseudo-color space,which solves the image fu-sion problem of heterogeneous multi-sensors,simplify the workload in image analysis and processing in HSI color space. The experiment of image fusion simulation shows that the approach overcomes the decline of integration of image resolution caused by pseudo-color RGB space,and fully retains whole information of heterogeneous sensor. The simulation instance proves that this algorithm is beneficial to eye interpretation and identification of machine.
出处
《计算机技术与发展》
2013年第10期201-203,207,共4页
Computer Technology and Development
基金
陕西省自然科学基金资助项目(2011K09-16)
关键词
图像融合
多分辨率分析
异类传感器
图像融合的性能评估
彩色空间
image fusion
multi-resolution analysis
different sensor
performance evaluation of image fusion
color space
