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This chapter gives an introduction to the methods of biomedical image
processing. After some fundamental preliminary remarks to the terminology used,
medical imaging modalities are introduced (Sect. 1.2). Sections 1.3 and 1.4 deal
with low-leve
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用小波变换进行图像预处理，再用自编小程序寻优参数，并用svm分类-Using wavelet transform for image preprocessing, and then writing small programs optimization parameters, and SVM classification
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基于DCT分类的边缘匹配矢量量化图像编码算法-Based on DCT classification side-match vector quantization image coding algorithm
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在做分类识别时常常需要一些图片，这时提供若干交通违章模拟图，可用于图像处理和模式识别。-In the classification and identification of often need some pictures, then provide some traffic simulation map, can be used for image processing and pattern recognition.
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数学图像库，可用于进行数字分类识别，希望对大家有用。-Mathematical image library, can be used for digital classification and recognition, in the hope that useful.
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采用分水岭方法分割一幅图像（大小鹅卵石），并采用形态学的方法来进行分类。-The watershed method is to split an image (different size pebbles), and morphological approach to classification.
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SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.
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论文《A Statistical Approach to Material Classification Using Image Patch Exemplars》提出的算法C++实现
1）使用了OpenCV2.2.0和VS2010，设置系统环境变量OPENCV_DIR为OpenCV的安装路径，如C:\OpenCV2.2,在path中添加环境变量C:\OpenCV2.2\bin,具体可查看OpenCV的用户手册
2）可zhenjia.dou@gmail.com-The algorithms
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整理图像特征点提取和分类的程序（可以作为场景分类的前期工作），自己调试过能运行，特征点提取用的SIFT算法，使用K-means聚类算法，将得到的20个聚类中心写入txt文本中-Finishing the image feature point extraction and classification procedures (which can be as the preparatory work of the scene classification), their own debugging
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LBP算法实现图像的纹理分类，通过lbp检测纹理，并对其分类，测试通过。-LBP algorithm to image texture classification, texture lbp detection, and classification of the test.
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阈值分割迭代法处理图像 基于贝叶斯分类算法的图像阈值分割 -Threshold segmentation iterative method to deal with image Bayesian classification algorithm based on image threshold segmentation
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classification code for hyperspectral image in remote sensing
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杨淑莹vc图像处理经典案例，是关于图像识别的，有两个程序，分别时分分类程序和聚类程序-Classic case of Yang Shuying vc image processing on image recognition, there are two procedures, respectively, time-division classification procedures and clustering procedure
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贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。
k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
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OSEM算法在图像重建中子集分类的研究，OSEM算法在图像重建中子集分类的研究-Of OSEM Subset classification in image reconstruction, the OSEM algorithm in image reconstruction Subset classification
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相关图像的数据集分类，精确度相对较高，而且较为简便-Related image data set classification accuracy is relatively high, and relatively simple
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汽车轮毂在线识别系统的研究，关键词: 轮毂 图像处理 特征提取 识别分类-Car wheels online identification system Keywords: wheels image processing feature extraction Identification and Classification
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数字图像处理、遥感原理应用、图像旋转平移、缩放、增强、分割、分类、聚类分析-Digital image processing, remote sensing principle application, image rotation, scaling, translation, enhanced segmentation, classification, cluster analysis
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能够对于遥感图像进行k均值和isodata分类-K mean and isodata of classification for remote sensing image
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采用经典的PCA对人脸图像进行特征提取，用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
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