提出了一种多特征信息融合的人耳识别方法。
A new ear recognition method based on feature fusion was presented.
利用贝叶斯参数估计算法进行多特征信息融合。
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
针对轴向柱塞泵故障特征的模糊性和不完备性特点，提出一种多特征信息融合与贝叶斯网络相结合的故障诊断方法。
Aiming at the fuzzy and incomplete nature of fault characteristics of axial piston pump, a method of Bayesian networks and multi-characteristic information fusion was proposed.
结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
为了充分利用目标的运动信息，连续多帧图像的融合特征图像进行能量累积，达到进一步提高检测概率，降低虚警率。
In order to sufficiently utilize the motion information, the feature images of multi-frame are cumulated to improve the detection probability and reduce the false alarm rate.
本文针对复杂背景下的彩色图像，提出了一种包含肤色的多特征信息优化融合的人脸检测算法。
In this paper, we present a multi-feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background.
多传感器信息融合是指将经过集成处理的多传感器数据进行合成，形成对外部环境某一特征的一种表达方式的过程。
Multisensor information fusion refers to any procedure where different sources of sensory data in the integration process are combined into one representational format.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
数据级融合模块主要对多传感器的测量信号进行处理，提取出故障诊断的特征信息。
The data fusion level module mainly handles the metrical data of multi-sensors and extracts the feature of faults.
在多传感器特征信息融合算法中，D - S理论得到了广泛应用，但该理论在处理多特征冲突问题时识别效果不十分理想。
For data fusion algorithms of multi-sensors, the D-S rule is widely used extensively. But it can not resolve the problem of feature collision ideally.
研究多传感器特征信息融合问题。
In this paper, multisensor attribute information fusion is studied.
针对口腔正畸领域中的图像，本文采用一种多特征融合的图像检索方法，医生通过检索出的相似图像找到正畸病患的诊断信息，进而提高诊断效率。
The paper brought up a method based on multi-feature for orthodontics images, doctors could find out the patients' diagnosis information according to some similar images.
针对口腔正畸领域中的图像，本文采用一种多特征融合的图像检索方法，医生通过检索出的相似图像找到正畸病患的诊断信息，进而提高诊断效率。
The paper brought up a method based on multi-feature for orthodontics images, doctors could find out the patients' diagnosis information according to some similar images.
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