搜索资源列表
BEMD_code
- 一个比较经典的二维经验模式分解程序代码，适用于图像的特征提取和分解-A more classic two-dimensional empirical mode decomposition procedure code, applied to image feature extraction and decomposition
enum_nt_services
- 列出NT的所有服务-the edges of image feature extraction and contour tracking, and high is your fault
Image-segmentation-Extraction
- 图像分割加特征提取的算法，一起分享，共同研究，共同进步-Add feature extraction image segmentation algorithms, along with sharing, joint research, and common progress
LSB-Data-Hiding-Image
- 图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string,
SIFTAlgorithmcodes
- D.G lowe 的尺度不变特征转换算法（SIFT） 在基于opencv和OpenGL的源码基础上增加了图像的保存功能。用于对图像的尺度不变特征的提取以及图像特征点的匹配。-DG lowe the scale-invariant features of the conversion algorithm (SIFT) and OpenGL-based opencv source code based on the increase in the preservation of image fe
fenxingweishu
- 计算分形维数的程序。此程序用于图像的特征提取。可用来进行目标判决。将测量数据集看作分形数据集，利用分形维数的大小来表示数据集的不规则性。-Fractal dimension calculation procedures. This procedure for image feature extraction. Can be used to target judgments. Measurement data set will be regarded as fractal data sets, t
Anautomaticimagestitchingalgorithmbasedonfeaturema
- This paper presents an image feature matching algorithm，based on what an image stitching algorithm can be fune— tioning．In this algorithm，Harris comer detector is used to extract featum points-This paper presents an image feature matching algorithm
SIFT_YantaoNoemie
- 图像特征匹配算法 SCALE INVARIANT FEATURE TRANSFORM -Image feature matching algorithm SCALE INVARIANT FEATURE TRANSFORM
23
- 图像技术的应用 ： 包括：基于FPGA的图像处理系统； 基于图像特征的景象匹配辅助导航系统中的关键技术研究； 图像导航技术的发展和应用 -Application of imaging technology: including: FPGA-based image processing system images based on image feature matching assisted navigation system in the research of key te
gabor_svm
- 采用Gabor_Palm函数提取掌纹图像的能量特征，并将得到的结果分块，分别计算每块的均值和方差作为特征向量。特征向量的长度为160.-Gabor_Palm function using the energy extracted palmprint image features, and will be the result of sub-blocks, each block were calculated the mean and variance as a feature vector
MASTERMIND
- Applet Name: Mastermind Applet Source: mastermind.java Import(s): java.awt, java.net, java.awt.image Feature(s): image, mouse-Applet Name: Mastermind Applet Source: mastermind.java Import (s): java.awt, java.net, java.awt.image Feature (s):
mymfc
- 图像检索界面设计代码包括图像的特征提取以及简单的检索结果-Image retrieval interface design code including image feature extraction as well as the simple search results
sift
- 用sift算子对两幅图像进行特征点的自动搜索。-Sift operator with the image feature point english
mixturecode
- histogram tool for image feature extraction
diantezhengtiqusuanfayanjiu
- 影像特征提取是影像匹配和三维信息提取的基础,是影像分析与单像处理技术领域中最重要的任务之一。有效的特 征提取算法是影像分析与处理的关键。从点特征定义出发,叙述了两种常用的点特征提取算子———Moravec算子和Forstner 算子的原理,利用Moravec算子和Forstner算子可以实现影像点特征的提取,并从提取点特征的准确度、提取速度对两种算子 进行比较,最后得出了有益的结论。-Image feature extraction and image matching are th
imagevectorquantization
- 本代码是利用matlab开发环境，对图像进行矢量量化，从而实现对图像的压缩；并介绍了需要用到的一些matlab现有函数及其使用方法和功能；在码书的训练方法上选择的是自组织映射神经网络，解码重建后的图像质量较好-The application of Self-Orgnization Feature Maps neural network in image vector quantization
sift
- 利用sift算法提取图像特征点，为进一步实现图像间的匹配做准备。-Sift algorithm using image feature extraction point for the further implementation of the matching between images ready to do.
sar_simulator.m
- SAR(合成孔径雷达)仿真程序,我们单位在这方面投入很多研究,我的毕业论文就是做SAR图象特征提取的.-SAR (Synthetic Aperture Radar) simulation program, we invested in this unit a lot of research, my thesis is to do the SAR image feature extraction.
printdetect
- 用matlab代码实现如下论文的指纹特征提取《基于Ma tlab实现的指纹图像细节特征提取》 郭晶莹，[J]北京，计算机仿真 2007.1 -Matlab code used to achieve the following papers fingerprint feature extraction, " Ma tlab based on the realization of the details of the fingerprint image feature extraction,
BasedonprincipalcomponentanalysisoftheFaceRecognit
- 在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA,