Classification of images with different rendering intents is required in the adaptive gamut mapping technics in computer color management.
色彩管理中的自适应色域匹配技术，要求对不同渲染目的的图像自动分类。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
The validity of method is proved by the experimental result of classification on bill images.
实际的票据分类处理实验结果证实了所提出的方法的有效性。
How to extract invariable features of images and construct a efficient system of classification and recognition is always a hot spot in the field of computer vision.
如何提取图像的不变性特征，构造一个高效率的分类识别系统一直是计算机视觉研究领域的一项热门课题。
Objective to explore the classification of ultrasound images of hepatic parenchyma of schistosomiasis japonica.
目的提出日本血吸虫病肝脏超声显像肝实质图像的分类。
Classification is an important means for analysis and application of hyperspectral images.
图像分类是高光谱遥感图像分析与应用的重要手段。
To avoid the similarity definition of images, classification and searching problems of images are solved through decision-making table theory.
避开图像相似度大小的定义，通过决策表理论解决图像的分类与检索问题。
The classification and measuring procedure for geometrical objects of a city will be simplified if its main road network could be automatically extracted from aerial remote sensing images.
如果能自动地从航空遥感图像中提取出道路网，将会简化城市地物目标的分类和测量过程。
The speckle noises of SAR images make the image-interpretation complicated, and deteriorate the effectiveness of classification and information extraction procedures.
SAR图像斑点噪声使图像解译变得复杂，并降低了图像分类和信息提取的有效性。
To solve the problem of automatic classification for ultrasound placenta images, we put forward an algorithm based on adaptive multiple neural networks.
针对胎盘超声图像自动分级这一临床应用问题，提出一种基于自适应多神经网络的分级算法。
This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.
该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。
The article used absolute exponent as one of the methods of fuzzy diagnosis to identify and classify hyperspectral images, then evaluated precision of classification result based on pixel level.
文中采用模糊识别的绝对值指数法对高光谱图像进行识别分类，并对分类结果进行像元级的评价。
In order to improve the classification accuracy of hyperspectral images, a fuzzy maximum likelihood classification method is proposed.
为了提高超谱图像分类的精度，提出了模糊最大似然分类算法。
In addition, the spectral selection based on the image's feature and experience is also an effective way to improve the classification of hyper-spectral remote sensing images.
另外，根据图像特征和经验对图像进行波段选择，也是改善高光谱遥感分类效果的有效途径。
The algorithms of facial expression recognition system mainly contain images' preprocessing algorithms, feature extraction algorithms and classification algorithms.
人脸表情识别系统中的算法主要有图像处理算法、特征提取算法和分类算法。
That lays the foundation for the achievement of TCP images semantic classification.
为国画图像语义分类的实现奠定了基础。
The main purpose of this thesis is to study algorithms for page segmentation and classification of document images.
本文主要研究文本页面图像的分割与分类算法。
Therefore, it is theoretically and practically significant to study the method of combining multiple classifiers and explore its application in automatic classification of remote sensing images.
因此，进行多分类器组合研究，探讨其在遥感影像自动分类中的应用，具有重要的理论与实践意义。
Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
This indicates that BP Neural Network method is an effective wetland classification method, and it can improve the classification accuracy of Remote Sensing images.
结果表明：BP神经网络分类法是一种有效的湿地分类技术，能够提高分类精度。
In literature, there are very few discussions on the change of performance of source camera classification algorithms when test images are subjected to minor image processing.
现有文献中的源相机分类算法很少讨论测试图像在受到轻微图像处理后算法性能的变化。
This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.
由于传统遥感影像分类方法存在不足，因而采用神经网络算法进行遥感影像分类研究。
Speckle in SAR images will disturb classification accuracy. Vector filter of speckle is used to dual-frequency images before classification.
SAR图像的相干斑会影响图像的分类准确度和精度，在进行分类处理前，对双波段全极化SAR图像相干斑进行矢量滤波处理。
The classification experiment had been carried out for 22 relief images for different length of filtering. And high accuracy was obtained.
并在不同滤波器长度下，对22幅遥感地貌纹理影像进行了分类试验，获得了较高的分类正确率。
This paper proposes a kernel function - hierarchical log-polar matching kernel which making use of the feature spatial information for building classification in remote sensing images.
提出了一种利用图像特征空间信息的核函数——层次对数极坐标匹配核，用于遥感图像建筑物目标的分类。
This paper proposes a kernel function - hierarchical log-polar matching kernel which making use of the feature spatial information for building classification in remote sensing images.
提出了一种利用图像特征空间信息的核函数——层次对数极坐标匹配核，用于遥感图像建筑物目标的分类。
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