搜索资源列表
并行图像细化算法和C代码实现
- 图像细化一般作为一种图像预处理技术出现,目的是提取源图像的骨架,即是将原图像中线条宽度大于1个象素的线条细化成只有一个象素宽,形成 骨架 ,形成骨架后能比较容易的分析图像,如提取图像的特征.-image thinning as a general image preprocessing technologies emerging, is the source of images from the fr a mes, that is, l
fvs_vc_net_03
- 用VISUAL C＋＋编程实现指纹图像的特征提取以及对指纹图像的识别-Utilising VISUAL C++ to make programs, we can get the characters of image and identify the image of finger mark
GrayMatrix
- 图像纹理特征描述了在图像中反复出现的局部模式和它们的排列规则，反应宏观意义上灰度变化的一些规律，编程实现基于灰度共生矩阵的图像纹理特征提取-Image texture features described in the repeated images of local models and their regular arrangement, the reaction intensity changes in the macro sen
Feature-Extraction
- 特征提取与图像处理(第2版)<尼克松(Mark S.Nixon) 英文版 适合研究图像匹配、目标识别等方面的人员使用。-Feature Extraction and Image Processing (2nd Edition) (Mark S. Nixon)。 Specially for who study on image pattern，tracking。
code
- matlab编写的图像纹理特征提取算法，附有一张纹理图像，对于纹理特征提取，该算法很有效！-matlab write feature extraction of image texture, with a texture image for texture feature extraction, the algorithm is very effective!
gaborfilter
- gabor滤波器用于在不同方位不同尺度下的图像纹理特征提取,使用matlab编写。-gabor filters for different scales in different directions of the image texture feature extraction using matlab prepared.
Glcm-untitled
- 基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取-GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction
FREAK
- freak算法对图像进行特征提取，该算法是比较新的算法，运行良好(Freak algorithm for image feature extraction, the algorithm is relatively new algorithm, running well)
FeatureMatching
- 特征提取，特征识别，通过识别CNN来提取图像中的特征区域(Feature extraction, feature recognition, through the identification of CNN to extract features in the image region)
图像拼接技术
- 利用sift算法提取两张图像的特征点，利用ransac去除误匹配，最后将两张图片拼接在一起(Using sift algorithm to extract the two feature points of the image, the use of ransac to remove the wrong match, and finally the two pictures together)
KSVD算法
- 是图像复原算法KSVD，用于图像的特征提取，效果比其他方法好。(Is the image restoration algorithm KSVD, for image feature extraction, the effect is better than other methods)
基于图像的道路裂缝识别算法的研究
- 对于四种未修补裂缝分类问题，研究它们在方向以及分布密度上的差异性来进行裂缝类型 的划分。(For the problem of unrepaired crack classification, we use the differences of them on the crack direction and the distribution for crack classification. Using 2D
局部二值模式LBP
- lbp实现图像的特征提取，可得到图像的直方图特征。(LBP realizes the image feature extraction, and can get the histogram features of the image)
AllFeatureAllFeature
- 提取图像的梯度特征，计算梯度边缘的数字，经归一化后进行特征提取(Gradient feature of image extraction)
Daisy
- 提取Daisy特征，可用于图像的特征表示和图像的匹配等图像处理的问题。(Extraction of Daisy features)
LBPHF_S_M
- 基于lbp的特征提取，适合文理特征明显的图像，方便好用，有例子(Feature extraction based on lbp is suitable for images with obvious features of arts and sciences, which is convenient and easy to use.)
MoravecPoint
- 利用moravec算子实现图像的点特征提取，效果基于阈值的选择(The Moravec operator is used to extract the point feature of the image, and the effect is based on the selection of the threshold.)
SURF_features_extracting
- 用于图像的特征提取，运算速度快！比传统的SIFT算法快好多！(Feature extraction for images, fast operation! Much faster than the traditional sift algorithm!)
形状特征提取
- 提取了图像的形状特征，文件自带测试图，在matlab 2016上成功运行(Extracted image shape features)
Gabor
- 用GABOR进行特征提取,通过gabor这种小波变换进行图像的roi区域的特征提取。(feature extraction of gabor)