介绍双光谱图像检测系统的总体设计，针对紫外与可见光双光谱成像系统提出了基于模糊矩阵的双光谱图像融合法。
The overall design of the double spectrum image system is introduced and puts forward a wavelet fusion method based on fuzzy matrix for the UV and visible double image system.
基于模糊矩阵的双光谱图像融合法能比较好地兼顾图像融合中清晰度和融合边缘过渡两方面的要求。
It comes to the conclusion that, double spectrum image fusion method based on fuzzy matrix can better meet the requirements of clarity and fusion fringe transition in the image fusion.
研究了利用模糊融合技术对白高斯噪声图像进行恢复的方法。
This paper studies the problem of restoring images degraded with Gaussian white noise by fuzzy fusion technology.
针对可见光和红外热图像序列中的远距离目标检测问题，提出了一种基于模糊积分的可信度融合的目标检测方法。
Aimming at long distance targets detection problem in visual and thermal infrared image sequences, a confidence fusion detection method based on fuzzy integral.
提出一种基于模糊数学的方法来融合多模医学图像。
In this paper, a method based on fuzzy mathematics to fuse multimodality medical images was presented.
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。
Because of geometry and color differences, the traditional image fusion method usually obtains faint result or false boundary.
提出了区域目标颜色与彩色纹理模糊测度，并将颜色与纹理信息进行融合，建立了敏感图像高维特征模糊测度函数。
By integrating the fuzzy measurements of region object color and texture characteristics, the fuzzy measurement function for high dimensional characteristic of the interesting image is established.
实验表明，采用新的基于模糊积分的融合方法，只要选择适当的模糊密度，就可以使得融合图像在提高空间细节质量的同时，相比其它融合算法能够具有更好的光谱质量。
The experiment shows that while the developed method can keep spectral quality of fused image, it can update the spatial detail quality of fused image when appropriate fuzzy density is chosen.
针对医学内窥镜图像，提出两种基于模糊C-均值聚类（FCM）的特征融合算法：融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first, using color correlogram combining with color texture;
针对医学内窥镜图像，提出两种基于模糊C-均值聚类（FCM）的特征融合算法：融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first, using color correlogram combining with color texture;
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