搜索资源列表
NRS_FW_FS
- Neighborhood rough set based heterogeneous feature subset selection
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.
Introduction_to_the_chain_code
- this document describes in details the freeman s chain code algorithm in regards to using for feature extraction in an OCR Application it also describes all the necessary phases to develop an ocr
VFDT
- 小波对信号进行多分辨率分析，提取信号特征-Wavelet multi-resolution signal analysis, signal feature extraction
Verver_FS_Version_5.1.6
- Feature Selection using matlab
FaceDetection_Based_on_a_New_Nonlinear_Color_Space
- 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区 YC C r b 域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度 ) ( 信息定位眼睛, 然后根据人脸特征的几 形态边缘检测算子检测候选区域的边缘, 利用 边缘方向 PCA PCAED ( ) 何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确 的人
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,
Meanshiftarobustapproachtowardfeaturspaceanalysis.
- Mean shift, a robust approach toward feature space analysis
extrace
- 基于Gabor滤波器的图像纹理特征提取，Gabor，纹理特征-Gabor filter-based feature extraction of image texture, Gabor, texture features
IEEEXplore-4.pdf
- Mutual Information Feature Selection
IRandvisbletuxiangpeizhun
- 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. -For visible light and infrared images of the characteris
adistortedimagerectificationalgorithmbasedonleasts
- 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matchin
speechcode1
- matlab中用于输入语音信号，特征提取，建立模型，识别判决等三部分的源码。-matlab input speech signal is used, feature extraction, modeling, identification judgments, such as the source of three parts.
feature.keyvalue
- 用layer.keyvalue和feature.keyvalue读取tab文件属性字段 [功能]:用layer.keyvalue和feature.keyvalue读取tab文件字段 [环境]:vb6+mapx4.5+win2k -Layer.keyvalue and use tab to read file attributes feature.keyvalue field [function]: layer.keyvalue and use tab to read document
MeanShiftSmooth
- 实现了Mean Shift:A Robust Approach Toward Feature Space Analysis一书中的所介绍的平滑方法。-A program of literature of Mean Shift: A Robust Approach Toward Feature Space Analysis introduces smoothing method.
IDA
- 对两幅图像特征点对匹配算法的一个实现，采用了09年pami一文章的观点，算法名称IDA(Incremental Dissimilarity Approximations)-Feature points of two images of an implementation of matching algorithm used pami a 2009 article, views, the algorithm name of IDA (Incremental Dissimilarity Approx
2005S9568
- feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data-feature selection from iris data set it will use statistical methods and get the best set of features then us
nonmaxsuppts
- Non maxima suppression and thresholding for points generated by a feature or corner detector.
self-organizing
- 基于自组织特征映射神经网络的图像压缩算法，ＥＩ检索论文，绝对有参考价值．-Based on self-organizing feature map neural network image compression algorithm, EI retrieval papers, the absolute reference value.