In this paper, depending on available theory and literature, it studied a kind of measuring system of facial skin condition based on statistical feature analysis of image texture.
本文在现有的理论和文献基础上，研究了一种基于图像纹理统计特征分析的面部皮肤状态检测系统。
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.
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。
Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.
针对模糊图像的弱点，分析了通过增强象素模糊属性对比度来提取边界特征的基本原理，实现了两幅图像的配准。
The angle of the least inertia moment axis of grey scale image is an important shape feature in digital image analysis.
惯性主轴的方向是数字图象分析中重要的形状特征之一。
This paper mainly studies image preprocessing, feature extraction and classification analysis, accordingly realizes the chromosome recognition.
本文对染色体图像进行预处理、特征提取和分类分析，实现对染色体的识别。
The mapping results showed that combining geology analysis of soil erosion with feature analysis of image was crux to judge soil erosion type and intensity, and to take quantitative mapping.
制图结果表明：土壤侵蚀的地学分析与影象特征分析相结合是判别土壤侵蚀类型和侵蚀强度，进行定量制图的关键；
It is shown that association rules can be adapted to feature selection which are used in image analysis and they can automatically identify the most confident feature.
关联规则的方法非常适用于图像分析中的特征选择，可以自动地选出可信度较高的特征。
The popular method for fractal dimension estimation is box-counting method, but as to gray level images, the results are so coarse that they could hardly be used as the feature for image analysis.
目前计算分数维广泛采用的方法是盒维数法。但对于灰度图像而言，盒维数计算的结果太粗略以致于很难将它作为进行图像分析的特征。
The edge is also an important feature of the image and its detection results directly affect the SAR image recognition and analysis.
而边缘也是图像的重要特征，其检测效果直接影响SAR图像的识别和分析。
In this dissertation, three levels of image fusion technology: pixel-level, feature-level and decision-level are studied, and some novel methods of analysis and processing are presented.
论文从像元、特征和决策融合三个方面研究了多源图像融合技术，提出了一些新的分析处理方法。
A new image feature extraction method based on changing image matrices and image principal component analysis (CIMPCA) is proposed in this paper.
在图像主分量分析的基础上，提出了一种基于图像矩阵变换的主分量分析方法。
We separate the whole image analysis work to several steps: the extraction of pulmonary parenchyma, the segmentation of region of interests (ROI), the feature extraction and classification.
我们将肺结节的自动检测分为肺实质的提取、感兴趣区域(R OI)的分割和ROI特征参数提取及分类判别几个步骤。
It presents principal component analysis on image based on neighborhood unions of per-pixel to obtain the eigenvector of per-pixel, then USES PCNN to set on fire to segment image with feature image.
通过对图像在每个像素的邻域的基础上进行主分量分析，产生每个图像像素的特征向量，再用PCNN对得到的特征图像进行点火分割。
Wavelet analysis is widely used in digital signal and image fields because of its good time frequency localization feature, but it doesn't do well in timely processing of long signals.
小波分析有良好的时-频局部化性能，现被广泛应用于数字信号和图像处理等领域，但其在处理有限长信号时的实时性不太理想。
Then, land cover classification and residential areas extraction with combined texture feature was proposed by the sufficient analysis of the texture feature with different image window.
然后在充分分析影像不同窗口纹理特征的基础上，提出应用组合纹理特征进行土地覆盖分类和居民地信息提取方法。
The authors of this paper have put forward the method of automatic recognition of joint points in the human body by means of image sequence analysis and feature extraction.
本文提出用图象序列分析和特征抽取的方法来自动识别人体关节点。
Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.
均值漂移算法是一种基于核密度梯度估计的特征空间分析算法，其实质是一种统计优化过程。
Conclusion: The correct diagnosis of SPT depends on comprehensive analysis of clinical feature, image and histopathologic characteristic.
结论：SPT的正确诊断依赖于临床表现、影像学特征，尤其是病理学检查的综合分析。
Texture analysis is very important in remote sensing, medical image processing, computer vision and image searching by texture feature.
纹理分析在遥感、医学图像处理、计算机视觉及基于纹理的按图像内容检索等许多应用领域中具有重要意义。
In this paper, cluster analysis was used for the initial classification in the feature space consisting of intensity of a MR image and its textures.
本文采用聚类分析法，由单谱图象的灰度和纹理参数构成特征向量，进行初始分类。
In this paper, cluster analysis was used for the initial classification in the feature space consisting of intensity of a MR image and its textures.
本文采用聚类分析法，由单谱图象的灰度和纹理参数构成特征向量，进行初始分类。
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