多聚焦图像融合技术可有效地解决这一问题。
Multifocus image fusion method can solve this problem effectively.
实验表明该算法是一种有效的多聚焦图像融合方法。
The results show that this algorithm is an effective method in multi-focus image fusion.
本文提出了一种考虑人眼视觉系统特性的多聚焦图像融合算法。
In this paper, a multi focus image fusion algorithm is proposed which takes features of human vision system (HVS) into account.
本文提出了一种基于区域特性的NSCT多聚焦图像融合新算法。
This paper proposed a new multi-focus image fusion algorithm based on the combination of NSCT and regional characteristic.
本文提出了一种新型的基于空间频率和数学形态学算子的多聚焦图像融合算法。
A new multi-focus image fusion method using spatial frequency (SF) and morphological operators is proposed.
多聚焦图像融合的算法较多，主要由基于空间域和基于频率域的图像融合法组成。
There are many multi-focus image fusion algorithms, mainly consisted of the spatial area based and the frequency area based algorithms.
为了获得同一场景内所有物体都清晰的图像，提出一种新的多聚焦图像融合算法。
In order to get a clear image that contains all relevant objects in an area, this paper proposes a new multi-focus image fusion algorithm.
本文将图像块分割引入多聚焦图像融合中，以小波空间频率作为多聚焦图像的清晰度指标。
This paper introduces the image block segmentation into the multi-focus image fusion, and USES wavelet spatial frequency as the multi-focus image clarity indicator.
为了对不同的多聚焦图像进行有效融合，提出了一种小波域中基于区域特征的自适应多聚焦图像融合方法。
To fuse different multi-focus images effectively, an adaptive fusion method of multi-focus images based on regional features in wavelet domain is proposed.
本文在对基于频率域的图像融合方法研究的基础上，提出了一种改进的基于形态学小波的多聚焦图像融合方法。
After the research on the image fusion method based on the frequency domain, this paper proposed an improved multi-focus image fusion method based on morphological wavelet.
基于小波变换的并以效果评价为反馈的图像融合算法，将其用于多聚焦图像融合中，能够一次就得到各个目标都比较清晰的融合图像。
An image fusion algorithm using transform and taking the evaluation of effect as feedback, using the algorithm in multi-focus image fusion, can get a fused image that all targets are more clearer.
多聚焦图像的融合实验结果说明该算法有很好的推广适用性。
The result of the fusion experiment of multi-focus images indicates that the algorithm is good to spread.
该算法定义了图像区域的相对清晰度判定指标，并根据多焦距图像像素邻域的相对清晰度来逐个选取聚焦清晰的像素点从而构成融合图像。
To overcome this problem, a novel fusion algorithm is proposed, which is based on a new image region focus measure, Relative Activity Level (RAL), presented in this paper.
针对同一场景多聚焦图像的融合问题，提出了一种基于小波变换的自适应脉冲耦合神经网络(PCNN)图像融合方法。
Concerning the fusion problem of multi-focus image with the same scene, an algorithm of image fusion based on wavelet transform and adaptive Pulse Coupled Neural Network (PCNN) was proposed.
对多聚焦图像和多光谱彩色图像分别采用计算图像信息熵和均方根误差、计算图像平均梯度的方法对融合的性能进行评价。
There is explicit characteristic of correspondence reflecting the droplet transfer among the electric, spectral and image information based on time information fusion.
对多聚焦图像和多光谱彩色图像分别采用计算图像信息熵和均方根误差、计算图像平均梯度的方法对融合的性能进行评价。
There is explicit characteristic of correspondence reflecting the droplet transfer among the electric, spectral and image information based on time information fusion.
应用推荐