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printRec
- 基于visualC++利用数字图像模式识别技术实现印刷体汉字的自动识别技术包括印刷体汉字特征定位及提取，分类器设计等连续过程。-Based visualC++ digital image pattern recognition technology for automatic identification technology, including continuous process printed characters printed characters feature location
GLCM
- Jurkat和Ramos两类细胞光学衍射图像特征提取和分类；Visual C++语言；通用模块使用；支持向量机。-Jurkat and Ramos cells optical diffraction image feature extraction and classification Visual c++ language General module USES Support vector machine (SVM).
(video-concept-annotation)-code
- 多媒体处理的视频，音频，图像的分类，检索-duomeiti fenlei shipintuxiang jiansusehjfbsbjbsjjabfaf faff fae
fruitrecognication
- 该程序包含对给定的果蔬图像进行训练并进行识别分类，识别率较高，达到90 左右-The program contains images of fruits and vegetables given training and recognition and classification, high recognition rate, reaching about 90
he
- 基于c的车牌识别，可以对输入的车牌图像进行分类，对军车要采取特殊的方法。-Based on c license plate recognition, license plate of the input image classification, special method for military vehicles.
SRC
- 稀疏编码能够快速，准确，低代价地表示自然图像的视觉神经方面的能力，把稀疏编码的方法运用到分类中的机器学习方法，就叫做SRC。此处提供SRC算法代码。-Sparse coding has the rapid, accurate and low cost ability to display natural images. The method of sparse coding is applied to the classification of machine learning methods
confusion-matrix
- 在图像精度评价中，主要用于比较分类结果和实际测得值，可以把分类结果的精度显示在一个混淆矩阵里面。混淆矩阵是通过将每个实测像元的位置和分类与分类图像中的相应位置和分类像比较计算的。-In the image to uate the accuracy, mainly for comparison of classification results and the actual measured value, the accuracy of the classification results ar
cal_class
- 利用最大似然法，通过感兴趣区域对遥感图像进行分类-Using the maximum likelihood method, by region of interest on remote sensing image classification
test
- 使用matlab] 利用神经网络单层感知器 对图像数字二值化进行判断分类 -Use matlab] single-layer perceptron neural network for digital image binarization judgment Categories
kmeans-snake-hough
- kmeans、snake、hough三种算法的c++代码，其中，kmeans进行分类，snake进行图像套索，hough进行找圆、直线等功能-kmeans, snake, hough three algorithms c++ code, which, kmeans classify, snake image lasso, hough were looking for circles, lines, and other functions
hannei
- 用于时频分析算法，可以实现模式识别领域的数据的分类及回归，仿真图是速度、距离、幅度三维图像。- For time-frequency analysis algorithm, You can achieve data classification and regression pattern recognition, FIG simulation speed, distance, amplitude three-dimensional image.
meikeng
- 有PMUSIC 校正前和校正后的比较，可以实现模式识别领域的数据的分类及回归，用于图像处理的独立分量分析。- A relatively before correction and after correction PMUSIC, You can achieve data classification and regression pattern recognition, Independent component analysis for image processing.
kunqun
- Relief计算分类权重，分形维数计算的毯子算法matlab代码,实现了图像的加水印，去噪，加噪声等功能。- Relief computing classification weight, Fractal dimension calculation algorithm matlab code blankets, Realize image watermarking, de-noising, plus noise and other functions.
mixture_of_gaussians
- 计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行
toutun_v17
- 实现了图像的加水印，去噪，加噪声等功能，可以实现模式识别领域的数据的分类及回归，分数阶傅里叶变换计算方面。- Realize image watermarking, de-noising, plus noise and other functions, You can achieve data classification and regression pattern recognition, Fractional Fourier transform computing.
nuifai
- Relief计算分类权重，一种基于多文档得图像合并技术，关于非线性离散系统辨识。- Relief computing classification weight, Based on multi-document image obtained combining technique, Nonlinear discrete system identification.
maisun
- Relief计算分类权重，毕设内容，高光谱图像基本处理，可以实现模式识别领域的数据的分类及回归。- Relief computing classification weight, Complete set content, basic hyperspectral image processing, You can achieve data classification and regression pattern recognition.
part
- 图像特征提取，用于提取高层次语义特征，用于图像场景的分类，一种新的特征表示方式-A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
bangmao
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,相参脉冲串复调制信号，Relief计算分类权重。- Including compression ratio, image restoration computing uptime
lenfun_v45
- 利用matlab针对图像进行马氏距离计算 ,实现了对10个数字音的识别，可以实现模式识别领域的数据的分类及回归。- Using matlab to calculate the Mahalanobis distance for the image, To achieve the recognition of 10 digital sound, You can achieve data classification and regression pattern recognition.