定量地评价图像融合性能是一项重要而复杂的工作。
Quantitatively assessment of the image fusion performance is an important and a complicated issue.
定量地评价图像融合性能是一项重要而复杂的工作。
Quantitatively assessment of the image fusion performance is an important and a complicated issue. Several evaluation criteria are presented in this dissertation.
利用这些性能评价方案对多种图像融合方案进行了比较。
It compared multiple fusion scheme on the use of these Performance Evaluation scheme.
文中建立了几种评价方法和准则，利用这些评价准则，研究了分解层数、不同融合规则以及特性区域大小对融合性能的影响。
Using these evaluation criteria, we study how the number of decomposition levels, different fusion rules or the size of region for measure influence the image fusion performance.
多组不同类型图像的融合实验表明，对融合性能的定量评价结果与融合后图像的视觉效果相吻合。
The experimental results of sets of different images show that quantitative evaluation result for the fusion performance is in accord with the visual perception effect of the fused images.
此外，利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析。
In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.
本文针对英语学习者存在的英美口音混杂现象，提出一种英美口音模型融合方法，提高发音质量评价性能，并压缩声学模型规模以适于嵌入式实现。
In this paper, we propose a new model merging method which can cover both American and British accents to improve the performance of pronunciation scoring with smaller model size.
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