搜索资源列表
WBImageAnalysis
- 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods.
tuxiangchuli_doc+cold
- 所谓基于内容图像的检索是指由图像分析软件对输入的图像先进行图像分析，根据图像中物体或区域的颜色(color)、形状(shape)或纹理(texture)等特征以及这些特征的组合，自动抽取特征，在将输入图像存入图像库的同时将其相应的特征向量也存入与图像库相连的特征库。-so-called content-based image retrieval is by image analysis software on the importation of the first images for ima
toolbox_fast_marching
- The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.
texture_shape
- 一些很有用的关于图像检索方面的文章，主要包括纹理和形状特征提取方面。-Some very useful articles on aspects of image retrieval, including texture and shape feature extraction.
code
- 基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息-Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape
fun_pcnn
- 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an important preprocessing stage in ma
colorful_sift
- 由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。-Since only the use of images of gray-scale information, SIFT algorithm can not distinguish between good shape similar but different colors of objects. In
Researchontheshapefeatureextractionandrecognition.
- 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而 可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别 层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
ImprovedActiveshapemodel
- Improved Active Shape Model for Facial Feature Extraction in Color Images
3d-matching
- 提出了一种用于物体外形非接触式提取的综合立体匹配方法。该方法综合了基于面积的立体匹配过程和基于特征的立体匹配过程。能充分利用它们各自的优点。 既能产生致密视差图。又能获得不连续处的准确匹配。 解决了物体外形非接触式提取中的关键性的问题实验结果以及实际应用都收到了很好的效果。-Proposed for object shape extraction of non-contact integrated stereo matching method. This method is an integra
fusehand
- 手形识别中采用肤色分割的算法，进行手形区域的提取，输出手形区域。-Hand-shape recognition algorithm using color segmentation, hand-shaped region extraction, hand-shaped area of the output
gaborfilter.tar
- Gabor滤波器经常被用于形状检测和特征提取，比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。 代码使用如下： function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta) from gaborfilter1 with different f(Frequency) and theta(Angle). for example f:0,2,4,8,16,32 theta = 0,pi/3,pi/6
shape-feature-extration
- 形状特征提取（7个HU不变矩提取）（基于边缘的特征提取法）-Shape feature extraction (7 invariant moments extracted HU) (edge-based feature extraction method)
Introduction-to-3D-Imaging
- 3D imaging, stereoscopy, 3D shape extraction
Shape
- 针对常见的几何形状匹配算法对目标遮挡较为敏感, 提出了一种基于角点匹配的几何形 状定位。 该方法首先根据边缘曲率提取图像的角点, 然后采用基于改进的投票策略的角点匹配算法对检测图与模板图进行匹配, 最后通过 Ransac算法去除错匹配。 实验表明, 该算法定位效果良好,有效地解决了目标部分遮挡问题。-A noval geometry shape position algo rithm based on point feature matching is proposed to solve t
Image-feature-extraction
- 分别有基于颜色特征、纹理特征、形状特征的提取，更好的比较图片的相似度-Respectively, based on color feature, texture feature and shape feature extraction, image similarity better comparison
OPenCV-feature--summary
- 包括 颜色提取 形状提取，形状提取包括 Candy算子对边缘提取、 角点提取、 Hough直线提取-Including color extraction shape extraction, including Candy shape extraction operator for edge detection, corner extraction, Hough lin
OpenCV-feature-extraction
- openCV特征提取代码总结，包括：颜色直方图提取，形状特征提取，角点提取、Hough直线提取、边缘提取、纹理特征提取等等。-OpenCV feature extraction code summary, including: color histogram extraction, shape feature extraction, angular point extraction, Hough straight line extraction, edge detection and textu
shape
- 在代码中，提取图像的形态，进行骨架线的提取。-In code, extract the shape of the image, the extraction of skeleton line.
Shape feature extraction
- 图像的形状特征一般是在物体从图像中分割出来以后进行分析，形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法，一类是边界特征，另一类是区域特征。图像的轮廓特征主要针对物体的外边界，而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape fea