- 23041-b00 The information in this document is subject to change without notice. Every effort has been made in the preparation of this document to ensure accuracy of the contents
- ColorPickerDemo android的一个颜色选择器的一个实现
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资源列表
iiological
- Ec biological information and realize the matlab tutorial of papers and toolkit is good
qechholoty__derivation
- InsProDisk,Partial,Src,rar 一个虚拟硬盘的源代码,用户级别的-InsProDisk, Partial, Src, rar a virtual hard disk s source code, the user level
zethods
- matlab 与 vc++接口五种不同的方法与实例 不错的-Matlab and vc++ interface five different methods and examples of good
efficientLBP
- 函数实现LBP(局部二元模式分析)。LBP测试像素和它的邻居之间的关系,把这个关系编码成 二进制字。这允许检测模式/功能。-The function implements LBP (Local Binary Pattern analysis).
Gabor_GLM_FEX
- 视网膜血管检测的Gabor变换和机器学习,教程 本教程将演示如何Gabor变换和广义 的线性模型(GLM)可用于视网膜血管检测 图像。 ,我们将尝试检测视网膜血管从 的训练图像,首先,Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 (独立变量)和容器的位置 为结果(因变量)。- Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial T
gabor-master
- gaborfeatures提取输入图像的Gabor特征。 它创建一个列向量,包括输入的Gabor特征 图像。特征向量归零均值和单位方差。-GABORFEATURES extracts the Gabor features of an input image. It creates a column vector, consisting of the Gabor features of the input image. The feature vectors are
extrace_brodatz
- 此程序为用gabor小波提取图像的纹理特征, Brodatz专辑纹理(每班49得到128x128的图像)-This program is used to extract the texture features the 116 brodatz album texture (49 128x128 images are obtained per class)
ahvrandanu
- windows media format 9 for images,vevr good-The Windows media format 9 for images and vevr good
346561
- windowsversion的部分源代码windowsversion的部分源代码-Windowsversion windowsversion part of source code part of the source code
xingzhuangbubianju
- 利用HU的七个不变矩作为形状特征向量,对输入图像数据的七维形状特征行向量进行提取。 - The seven invariant moments of HU are used as the shape feature vectors to extract the feature vectors of the seven dimensional shape of the input image data.
Wiener-and-blind-convolution
- 维纳滤波与盲卷积算法代码,用于图像处理去燥 清晰化处理,自带图像还有附录讲解-Wiener filter and blind convolution algorithm code for image processing to dry clear processing, comes with the image there are appendix to explain
Image-processing-lbp-1-
- 提供一种基于颜色和纹理特征的图像识别方法,该方法包括如下步骤:将检测图像A和匹配图像B均分成n个子块;计算检测图像A和匹配图像B在子块k的颜色特征相似距离Dk(A,B),纹理特征相似距离Tk(A,B),其中k∈(o,n];计算检测图像A和匹配图像B的颜色特征相似距离C(A,B),纹理特征相似距离T(A,B);根据检测图像A和匹配图像B的颜色特征相似距离C(A,B)和纹理特征相似距离T(A,B)判断检测图像A和匹配图像B的相似度S(A,B)。相对于现有技术,本发明基于颜色和纹理特征的匹配来计算图像
