Description: 图像的纹理分析方法(从图像、图形融合的思想出发 ，介绍了基于图像分析的表面形状恢复及纹理
三维特征获取方法，并将其应用于图形建模和纹理映射．首先利用不同视点下的遮挡
边缘序列，并结合其它视觉信息的分析，获取了表面点的三维几何坐标，实现了基于
图像分析的表面形状绘制．接着利用阴影分析方法，提取纹理图像的表面起伏特征，
将该特征结合像素点的颜色属性，进行图形纹理映射，实现了基于图像特征分析的图
形纹理生成．实验结果证明了图像、图形融合思路的可行性和有效性及图像、图形融
合方法的巨大潜力．)
-image texture analysis methods (from the images, graphics integration of thinking is introduced, based on image analysis of the surface texture and shape recovery obtain three-dimensional feature, which can be used for graphical modeling and texture mapping. The first to use different view of shading sequence and combine other visual the analysis of information, access to a 3D surface geometry point coordinates and realized the image analysis based on the shape of the surface mapping. then use shadow analysis to extract the image texture features undulating surface and combine it with the color attribute, graphics texture mapping, image-based achievement features graphics texture generation. experimental results show the images, graphics integration ideas on the feasibility and effectivene Platform: |
Size: 3542088 |
Author:wfw |
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Description: 图像的纹理分析方法(从图像、图形融合的思想出发 ，介绍了基于图像分析的表面形状恢复及纹理
三维特征获取方法，并将其应用于图形建模和纹理映射．首先利用不同视点下的遮挡
边缘序列，并结合其它视觉信息的分析，获取了表面点的三维几何坐标，实现了基于
图像分析的表面形状绘制．接着利用阴影分析方法，提取纹理图像的表面起伏特征，
将该特征结合像素点的颜色属性，进行图形纹理映射，实现了基于图像特征分析的图
形纹理生成．实验结果证明了图像、图形融合思路的可行性和有效性及图像、图形融
合方法的巨大潜力．)
-image texture analysis methods (from the images, graphics integration of thinking is introduced, based on image analysis of the surface texture and shape recovery obtain three-dimensional feature, which can be used for graphical modeling and texture mapping. The first to use different view of shading sequence and combine other visual the analysis of information, access to a 3D surface geometry point coordinates and realized the image analysis based on the shape of the surface mapping. then use shadow analysis to extract the image texture features undulating surface and combine it with the color attribute, graphics texture mapping, image-based achievement features graphics texture generation. experimental results show the images, graphics integration ideas on the feasibility and effectivene Platform: |
Size: 3542016 |
Author:wfw |
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Description: 用小波多尺度分析进行基于医学图像形状特征的检索.-wavelet multiscale analysis based medical image retrieval features of the shape. Platform: |
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Author:江兰 |
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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. Platform: |
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Author:阳关 |
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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). Platform: |
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Author:范卫华 |
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Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区
YC C
r b
域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度
)
(
信息定位眼睛, 然后根据人脸特征的几
形态边缘检测算子检测候选区域的边缘, 利用 边缘方向
PCA PCAED
( )
何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确
的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分
割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征
PCAED
具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低
等特点。-
A novel approach for skin segmentation and facial feature extraction is proposed
The proposed skin segmentation is a method for integrating the chrominance components of
″″ . ″″
r b r b
nonlinear YC C color model The chrominance components of nonlinear YC C color space
,
are modeled using a subgaussian probability density function and then the face skin is seg
. ,
mented based on this function In order to authenticate the face candidate regions firstly tex
ture information in face candidate regions is segmented using mean and variance of luminance
, . ,
information and then the eye is located by the PCA edge direction information Finally the
, ,
others features such as nose and mouth also are detected using the geometrical shape infor
. 2 ,
mation As all the above mentioned techniques are simple and efficient the skin segmentation
.
based on nonlinear color spacemethod has the invariability of lighting and pose In the experi
, .
ments themethod has been successfull Platform: |
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Author:zz |
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Description: 图象 处 理和模式识别中经常根据物体的形状来识别物
体或对物体进行分类。形状特征可以分为区域特征和边界特
征两大类，矩不变量是最基本的形状特征。Hu提出的矩不变
量是图象区域内部细节的描述，是一种区域特征。它是建立
在对一个区域内部灰度值的统计分析基础上的，需要目标区
域的所有象素参与运算-Image processing and pattern recognition are often based on the shape of objects to identify objects or to classify objects. Shape characteristics and regional characteristics can be divided into two major categories of border characteristics, moment invariants is the most basic features of the shape. Hu moment invariants proposed by the image region is described in detail, the characteristics of a region. It is based on a gray value of region on the basis of statistical analysis, the needs of the target region to participate in all-pixel operations Platform: |
Size: 653312 |
Author:martin |
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Description: 图像检索_基于MPEG-7形状特征的图像检索技术研究-_ Image Retrieval Based on MPEG-7 shape features of image retrieval research Platform: |
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Author:ff |
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Description: 表面缺损检测对保证产品的使用性能、完整性和安全性具有重要意义 本文将表面
缺损类型总结为结构缺损、几何缺损、颜色缺损和纹理缺损等几类，并进行特征分析。在此基础上，从基于灰度特征、形态特征、色度特征和纹理特征等几方面对表面缺损的图像检测方法进行综-Surface defect detection products to ensure the use of performance, integrity and security will be of great significance to this article summed up the type of surface defect structure of defects, defect geometry, color and texture defects, such as several types of defects, and analysis. On this basis, from the gray-scale-based features, shape features, color features and texture features, such as several images of the surface defect detection method for fully mechanized Platform: |
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Author:wangzhongmei |
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Description: 针对医学图像数据库,提出一种新的基于纹理和形状的图像检索方法。非下采样Contourlet变换具有多尺度多分辨率
分析和平移不变性的特点,用来提取纹理特征。Zernike矩作为一种基于区域的形状描述子,具有良好的旋转不变性,用来提取
形状特征. 然后综合两种特征。对CT图像数据库进行检索实验,实验结果表明,该方法具有良好的检索性能,并具有平移、尺
度、旋转不变性。-Aiming atmedical image database, a novelmedical image retrieval algorithm based on texture and shape
information is p roposed. The nonsubsamp led Contourlet transform p rovides a flexible multi2scale, multi2direction and
shift2invariant image rep resentation. It is used for texture feature extraction. As a region2based shape descrip tor,
Zernike moments have good rotation invariance. It is used to extract shape feature. Then, the two features are inte2
grated into image retrieval. A CT image database was retrieved using thismethod. Experimental results show that the
new method has good retrieval performance and the p roperties of translation, scaling and rotation invariance.
Key words: nonsubsamp led Contourlet transform Zernike moment texture extraction shape extraction Platform: |
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Author:ll |
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Description: 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial video image coding image compression in recent years a hot research topic in the field of the problem, it is in the communication, the Internet have a wide range of applications. Coding of face images contain many sub-problems, the main three are: accurate target location algorithm for face, real-time face tracking algorithm and efficient facial image coding method. This major research work are: 1) of the frame difference and background difference goal of combining face localization algorithm, feature selection in the human face, the main use of shape features, by ellipse fitting to get the location of the face. 2) Kalman filtering based motion prediction method changes the face of the region predicted to narrow the possible target area (ROI). Platform: |
Size: 1024 |
Author:周参 |
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Description: matching shape can be subdivided between two approaches: feature-based and template-based matching. The feature-based approach uses the features of the search and template image, such as edges or corners, as the primary match-measuring metrics to find the best matching location of the template in the source image. The template-based, or global, approach, uses the entire template, with generally a sum-comparing metric (using SAD, SSD, cross-correlation, etc.) that determines the best location by testing all or a sample of the viable test locations within the search image that the template image may match up to. Platform: |
Size: 10481664 |
Author:gislam |
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Description: 介绍了一个基于特征的图象查询和检索系统.该系统由查询模块、特征提取和描述模块、匹配模块、图象显示模块和图象库管理模块组成.系统既支持基于颜色、纹理、形状的单一特征查询,也支持结合不同特征的更符合视觉要求的综合特征查询.该系统已结合实际图象库进行了查询和检索实验,文中给出一些实际检索结果.
-Describes a feature-based image query and retrieval system. The system consists of query module, feature extraction and description of the module, matching module, image display module and image database management module. System not only supports color, texture, shape single feature queries, and also supports a combination of different features more in line with requirements of the integrated features of the visual query. The system has been carried out with the actual image database query and retrieval experiments, the paper gives some actual search results. Platform: |
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Author:陈怡 |
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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. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: 一个Java实现的基于内容的图像检索工具包，可用来提取图像的颜色特征、纹理特征（Gabor Filter）以及形状特征，并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape features, and on this basis to determine the image correlation. Platform: |
Size: 41984 |
Author:杜可 |
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Description: CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a description of the primitive features of an image color and shape. These features are extracted and used as the basis for a similarity check between images. The final result is a MatLab built software application, with an image database, that utilized color and shape features of the images in the database as the basis of comparison and retrieval. Platform: |
Size: 304128 |
Author:keerthi |
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Description: 图像检索系统源码,仅用于商业学习!具体操作步骤如下：
1.输入带检索图像。
2.选择检索库路径。
3.选择检索方式：基于颜色特征、基于形状特征或者基于颜色和形状综合特征。
4.点击【开始检索】按钮即可得到检索结果。-The source of the image retrieval system, used only for commercial learning! Specific steps are as follows: 1. Input with retrieval of images. 2 Select retrieval library path. Choose retrieval methods: based on color feature, shape-based features or characteristics based on color and shape. 4 Click the Start retrieve】 button to retrieve the results. Platform: |
Size: 1332224 |
Author:li |
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Description: 具体操作步骤如下：
1.输入带检索图像。
2.选择检索库路径。
3.选择检索方式：基于颜色特征、基于形状特征或者基于颜色和形状综合特征。
4.点击【开始检索】按钮即可得到检索结果。-Specific steps are as follows:
1 input with image retrieval.
2 Select retrieval library path.
3 Select the search method: Based on the color feature, shape-based features or features based on color and shape integrated.
4 Click [Start] button to retrieve search results can be obtained. Platform: |
Size: 1173504 |
Author:张三 |
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Description: 在线构造具备不同特征分布的三维类此心形形状的图形-Online construct 3D shape of love based on different features by use of saveral colors Platform: |
Size: 1024 |
Author:sen zhou |
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Description: Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata -Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata Platform: |
Size: 39936 |
Author:kilo |
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Search - shape based features