搜索资源列表
PCA.rar
- 用主成分分析法提取人脸图像特征的程序，算法理论依据是K-L变换,Principal Component Analysis with face image feature extraction process
Image.rar
- matlab 关于二值图像熵和交叉熵的计算程序,这一程序与结合其它方法对图像进行分割,作为一个判断标准.,matlab on the binary image entropy and cross entropy calculation procedure, which in combination with other methods and image segmentation, as a criterion.
colortexture.rar
- matlab编写的图像处理程序，用于提取图像的纹理、颜色特征。,matlab image processing procedures to prepare for the extraction of image texture and color features.
texture-gabor.rar
- gabor提取纹理特征，k-means方法无监督聚类进行图像分割,extract texture feature, cluster by k-means
JAVA
- 基于JAVA实现的图像特征提取源代码 图像特征提取的源代码，使用sobel算子提取图像边缘，使用hu矩提取图像形状特征，使用颜色中心矩提取图像颜色特征，请使用eclipes导入该工程并运行test文件（可将test文件中去掉一些注释部分运行更多功能）。-JAVA based on the realization of the image feature extraction image feature extraction source code source code, use the sob
bill-recognition
- 一种纸币识别VC++程序源码，并含有多国纸币的特征库，如日元、英镑、港币...的特征库。有从纸币图像预处理、特征匹配的全过程。对从事图像处理，模式识别研究的人很有参考价值。-a type bill recognition VC++ resource code
采用邻域差值特征模板的立体匹配方法
- 算法给出一种图像匹配方法，通过计算一幅图像中间隔一定距离的两点的像素邻域差值作为特征模板，再计算另一幅图像中在同一扫描线上间隔同样距离的像素邻域的差值，将它与特征模板的偏差作为匹配标准，偏差最小的点就认为是匹配点。
matlab-susan
- 图像处理中，一种新的边缘检测，特征点提取方法，算法经过测试，可以运行，对医学图像处理的人有帮助-Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people
beamlet
- 采用beamlet变换方法，实现图像线特征提取，以此代码为基础的文章已被核心期刊录用-Beamlet transform methods used to achieve the image line feature extraction, this code is based on the core of the article has been hired Journals
OpenSURF
- surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and othe
sift_ImageStitch
- 使用sift算法提取图像特征点，用BBF的索引方式进行配准并完成拼接-extract image features using sift algorithm and complete the registration and stitch by BBF way
ImageProcessing
- 图像特征提取是图像识别的关键步骤,图像特征提取的效果如何直接决定着图像识别的效果. 如何从原始图像中提取具有较强表示能力的图像特征是智能图像处理的一个研究热点. 本文旨在介绍各种 图像特征提取方法的基本思想、特点和研究发展现状, -Image feature extraction is a key step in image recognition, image feature extraction directly determines how the effect of image
Gabor
- 使用MATLAB对图像做Gabor变换，提取图像的特征值。-Use MATLAB to do the image Gabor transform, extract images eigenvalues.
39709592CBIR-matlab
- 基于内容的图像检索主颜色直方图的提取，从图像的获取到直方图现实到特征的提取，最后根据图像检索出与所给图像最相似的图像。-Content-based image retrieval dominant color histogram extracted from the images to get to the real histogram feature extraction, the last based on the image to retrieve the image with the m
Texture--feature--extraction
- 程序对matlab自带图片lina进行纹理图像特征提取-Matlab program comes with pictures of lina texture image feature extraction
SIFT
- C语言下实现SIFT算法 用于图像特征匹配-C-achieve SIFT algorithm for image feature matching
FastICA_23
- 独立成分分析算法，定点独立成分分析。可以用于图像特征提取-fastica algorithm
Detection1
- 基于特征点检测匹配的运动补偿方法，然后通过补偿的差分图像法来检测移动平台下的运动目标-Based on feature point detection method of matching motion compensation, and then through the compensation differential image method to detect the mobile platform under the moving target
chengxu
- 用于提取图像一些的基本特征，方便进行图像分类-Used to extract some basic characteristics of images to facilitate image classification
gray_matix
- 灰度共生矩阵提取图像特征 然后对图像分类-Gray-scale extraction of image feature co-occurrence matrix of image classification and then