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Description: 利用矩特征可以从二维图像识别三维目标,4阶矩的图像峰值反映了目标的形状,为了使它具有平移、比例和旋转不变性,作者对其进行了归一化处理。-use Moments from the three-dimensional two-dimensional image recognition, four bands peak moments of images reflect the shape of the target, In order to give it scale, translation and rotation invariant, the author of its normalized treatment.
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Author: 王城 |
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Description: 图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章，文章列表为：
[1]Snakes Active Contour Models.pdf
[2]Multiscale Active Contours.pdf
[3]Snakes, shapes, and gradient vector flow.pdf
[4]Motion of level sets by mean curvature I.pdf
[5]Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf
[6]An active contour model for object tracking using the previous contour.pdf
[7]Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf
[8]Segmentation in echocardiographic sequences using shape-based snake model.pdf
[9]Active Contours Without Edges.pdf
学习图像处理的人必看的几篇文章-Image Processing on the Snakes: Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of level sets by mean curvature I.pdf [5] Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf [6] An active contour model for object tracking using the previous contour.pdf [7 ] Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf [8] Segmentation in echocardiographic sequences using shape-based snake model.pdf [9] Active Contours Without Edges.pdf learning image processing articles were a must-see
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Size: 5512192 |
Author: 张阳 |
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Description: 本文提出了有模型指导的三维人体运动跟踪框架，将一个多关节的圆台形状三维人体模型与多个视频图像中的外轮廓、边界、灰度和肤色特征进行匹配，使人体运动跟踪变成一个状态估计问题。并且，使用基于概率模型的粒子滤波算法来完成非线性、非高斯动态系统的状态估计。
-In this paper, the model has guided three-dimensional human motion tracking framework, will be more than one of the frustum of a cone shape of the joints of three-dimensional human body model with a number of video images of the outer contour, border, greyscale and color matching features, so that human motion tracking into a state estimation problem. In addition, the use of probabilistic model based particle filtering algorithm to complete the non-linear, non-Gaussian dynamic system state estimation.
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Author: 阳关 |
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Description: hanks for downloading this code. This VB Project shows you how to make forms with "rounded rectangle" shape. It also shows you how you can reduce the size of your programs with a GUI by using blocks of images and absolutely positioning and stretching them to create a dialog box, rather than making the whole dialog box in a graphics program and setting it as the Picture property of the Form. Another advantage of using image blocks is that you can resize this form to virtually any size and the effect will still be the same.
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Size: 7168 |
Author: hbhuia |
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Description: 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.-The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (eg road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.
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Size: 1349632 |
Author: 费仙凤 |
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Description: 利用傅里叶描述子进行物体形状分析：
对于一个物体的边缘即形状来说，可将其看作是平面在空间坐标系下的点集构成的闭合曲线，这样就可用周期函数来描述其外形，可以进行离散傅里叶变换，将图像由空域表示转换到频域表示，变换后的函数可由傅里叶变换系数来描述。对于数字图像的频谱来说，低频分量的分布反映了图像主体的基本形状，高频分量的分布反映图像的细节-Fourier descriptors for object shape analysis: For the edge of an object or shape, it can be regarded as the plane in the space coordinates of the point set consisting of closed curves, so that periodic function can be used to describe its shape , can be discrete Fourier transform, the image from the airspace, said the conversion to the frequency domain that function can be transformed to describe the Fourier transform coefficients. For digital images of the spectrum, the distribution of low-frequency components reflect the basic shape of the main images, high-frequency component of the distribution reflects the image details
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Size: 11264 |
Author: 吴亚鹏 |
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Description: 基于轮廓的形状特征提取
1)该程序在VC＋＋6.0下编译通过；
2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定）
64×64 24bit BMP：
图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别；
120×120 24bit BMP：
图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别；
3)结果说明：
MCS.dat保存了Mountain Climbing Sequence。
-Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.
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Size: 3072 |
Author: 方哲 |
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Description: 图像识别，通过矩阵计算分别读入图像的形状，可区分三角，椭圆，圆形，长方等规则几何-Image recognition, through the matrix, respectively, read into the shape of images, can be distinguished triangle, oval, round, rectangular, such as the rules of geometry
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Size: 36864 |
Author: 徐宁 |
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Description: 图像细化 （Image Thinning），一般指二值图像的骨架化（Image Skeletonization） 的一种操作运算。
一个图像的骨架由一些线和曲线（比较理想的是单像素宽度），骨架可以提供一个图像目标的尺寸和形状信息，因而在数字图像分析中具有重要的地位，图像细化（骨架化）是进行图像识别、线条类图像目标分析的重要手段。
本文将探讨骨架的一些性质，给出如何判断一个像素是否属于图像目标的骨架，最后将给出获得图像目标骨架的基本算法。-Image Thinning (Image Thinning), generally refers to binary image of the skeleton (Image Skeletonization) an operation of computing. An image of the skeleton by a number of lines and curves (more ideal is a single pixel width), can provide a skeleton image target size and shape information, which in the digital image analysis in an important position, image thinning (skeleton of) is image recognition, line-type image of an important means of target analysis. This article will explore some properties of the skeleton is given how to determine whether a pixel belongs to the target image of the skeleton, the final goal will be given access to images of the basic algorithm skeleton.
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Size: 110592 |
Author: 魏建亮 |
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Description: 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 sobel operator edge extraction, the use of hu moments shape feature extraction of images, the use of color centers Moment image color feature extraction, use eclipes into the project and run test file (test file can be removed from some parts of Notes to run more features).
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Size: 36864 |
Author: 范卫华 |
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Description: 为了在序列图像或视频流中识别目标形状，对初始背景图像求差，结果经过阈值化，然后进行形态学滤波，最后通过计算判断图像中目标的形状。运用虚拟仪器软件LabVIEW平台，配合USB接口的网络摄像头实现系统功能。此方法简便易行，对图像或视频中的目标识别效果良好。-In order to sequence images or video stream to identify the target shape, the initial background image for poor results after thresholding, and then morphological filtering, the final judging by calculating the shape of the target image. The use of virtual instrument software LabVIEW platform to support the USB interface to achieve the network camera system. This method is simple, image or video of the target recognition results.
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Size: 479232 |
Author: yn |
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Description: gabor_function1该程序对Gabor核函数某个尺度和方位的三维形状和二维平面图像进行显示
gabor_function2该程序对Gabor核函数五个尺度和八个方位的二维平面图像进行显示，共产生40个二维平面图像
这两个程序对理解gabor小波很有帮助哦-gabor_function1 the program of Gabor kernel function of a scale and orientation of the three-dimensional shape and two-dimensional images show that the program gabor_function2 of Gabor kernel five scales and eight-directional two-dimensional images show that a total of 40 have a two-dimensional Planar images of these two procedures useful in understanding the gabor wavelet Oh
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Author: 吴海峰 |
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Description: Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
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Size: 4657152 |
Author: Stephen Bishop |
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Description: 数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础，图像理解和分析的第一步往往就是边缘检测，目前它以成为机器视觉研究领域最活跃的课题之一，在工程应用中占有十分重要的地位。本文向读者简单介绍一下这个技术，并给出了在Visual C++环境下实现的代码。-Digital images are the edge detection image segmentation, target area identification, regional shape the field of image analysis such as extraction of a very important foundation, image understanding and analysis is often the first step in edge detection, at present it is the machine vision to become the most active areas of research topics one of the engineering applications occupy a very important position. In this paper, a brief introduction to readers of this technology and give the Visual C++ implementation of the code environment.
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Size: 20480 |
Author: lisi |
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Description: 基于图像内容的视觉相似搜索引擎,自动分析图像中的颜色、纹理、形状、空间特征等
作为搜索的关键数据，通过特定算法搜索相似的图片。-The visual image content-based similarity search engine, automatic analysis of images in color, texture, shape, spatial characteristics of the critical data as a search through a particular search algorithm similar to the picture.
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Size: 891904 |
Author: birch |
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Description: 对形图像的经过边缘提取后得到的二值图像边缘进行细化，提取单像素的边缘，使得边缘是成为清楚的单像素的边缘。-After images of the shape after the edge extraction of the binary image to refine the edge, the edge extraction of a single pixel, making the edge is to be clear of the edge of a single pixel.
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Size: 2048 |
Author: mayan |
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Description: Shape Identification for Basic Images like square, circle.
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Size: 8192 |
Author: ganesh |
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Description: Improved Active Shape Model for Facial Feature
Extraction in Color Images
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Size: 450560 |
Author: 思沃琪 |
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Description: A ct ive shape models (A SM ) , consist ing of a
shape model and a local gray2level appearance model, can
be used to locate the objects in images. In o riginal A SM
scheme, the model of object′s gray2level variat ions is
based on the assump t ion of one2dimensional samp ling and
search ing method. In th is wo rk a new w ay to model the
gray2level appearance of the objects is exp lo red, using a
two2dimensional samp ling and search ing technique in a
rectangular area around each landmark of object shape.
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Author: 天使 |
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Description: Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback.
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Size: 359424 |
Author: gokul/goks |
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