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GeoTrans.灰度图像的各种操作源代码
- 数字图像处理中，灰度图像的放大、缩小，平移和旋转功能实现的源代码，分别采用最近邻插值法和双线性插值方式实现。,Digital image processing, the gray-scale image to enlarge, narrow, pan and rotate functions of the source code, respectively, using nearest neighbor interpolation and bilinear interpolation way.
2
- 编写24位彩色图像的平移处理程序；编写基于最近邻插值算法的24位彩色图像放大处理程序；编写基于双线性插值算法的24位彩色图像放大处理程序；编写基于最近邻插值算法的24位彩色图像缩小处理程序；编写基于双线性插值算法的24位彩色图像缩小处理程序；编写基于最近邻插值算法的24位彩色图像旋转处理程序；编写基于双线性插值算法的24位彩色图像旋转处理程序；-The preparation of 24-bit color image translation process the preparation o
LDA2D-2
- 人脸识别中2DLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
PCA2D
- 人脸识别中2DPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
PCA
- 人脸识别中PCA算法的matlab程序，使用最近邻分类器进行识别。-PCA Face Recognition Algorithm matlab procedures, the use of nearest neighbor classifier to identify.
Yong
- Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
FaceRecognitionBasedonWaveletTransform
- 基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
image
- 自编各种插值，包括最近邻插值，双线性插值，还有图像拼接程序-Composing a variety of interpolation, including the nearest neighbor interpolation, bilinear interpolation, as well as image stitching program
nearest
- 模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码,nearest neighbor-Nearest-neighbor algorithm for pattern recognition problem of matlab implementation, can be simulated to achieve the core of the nearest neighbor method is a good code, nearest neighbor
ClassifyHomework
- 模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
Nearest_neighbor_interpolation
- 最近邻算法和双线性插值算法 实现灰度图的缩放 -Nearest neighbor algorithm and the bilinear interpolation algorithm to achieve gray level scaling
nearestinterpolation
- 2006编写的最近邻域内插源代码，可以实现图像的最近邻域内插-2006 prepared by the nearest neighbor interpolation within the source code can be achieved within the image of the nearest neighbor interpolation
rotate
- 实现图像空间旋转，灰度插值操作，插值方法分别是最近邻法和二次线性法。-Achieve the image space rotation, gray-level interpolation operation, interpolation methods are nearest neighbor method and the second linear method.
shibie
- 基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL
Nearest-neighbor-interpolation-and-the-speed-optim
- 近邻取样插值和其速度优化，是图像缩放技术中重要的技术之一，代码很丰富，稍作修改就可用于自己的代码中-Nearest neighbor interpolation and the speed optimization of sampling，is one of Image scaling technology
K-nearest-neighbor
- K近邻估计方法，采用可变大小的小舱的密度估计方法。-K-nearest neighbor estimation method, the size of a small cabin with variable density estimation method.
The-nearest-neighbor-interpolation
- 图像的最邻近插值放大 纯C语言实现 包含bmp图像的读取和保存程序 可以直接运行-Read and save the program nearest neighbor interpolation to enlarge the image pure C language contains bmp image can be run directly
Nearest-neighbor-classification-code
- 最近邻分类器代码和数据，MATLAB程序，可对数据进行计算距离，识别距离最近的数据。-Nearest neighbor classification code and data, MATLAB program, the data can be calculated the data identify the nearest.
Symmetric-Nearest-Neighbor-SNN
- 对称近邻均值滤波 function [Y,Xpad] snn(X,WINSZ) X——待处理图像 WINSZ——模板尺寸-Symmetric Nearest Neighbor, SNN function [Y,Xpad] snn(X,WINSZ) X——Image to be processed WINSZ——window size
image recognition
- 分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb