Description: 过分割后区域合并代码。思想是在多尺度下，基于区域的色彩，纹理，形状信息的合并方法。-After the merger of over-segmentation region code. Thinking is in a multi-scale, region-based color, texture, shape information of the combined method. Platform: |
Size: 2048 |
Author:陶超 |
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Description: 按照纹理和彩色空间信息对图像进行分割。分割效果比较好。-In accordance with the texture and color space information of image segmentation. Better segmentation results. Platform: |
Size: 1715200 |
Author:胡闽 |
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Description: 该源码可以实现对彩色或灰度图像的曲波（Curvelet）特征的提取，以便后续做纹理图像分割。-The source can be achieved in color or grayscale images Qu Bo (Curvelet) feature extraction in order to do follow-up texture image segmentation. Platform: |
Size: 3072 |
Author:陈曾 |
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Description: 第一辑：数学
代数部分、数值部分、几何拓扑部分、方程部分；第二辑：数据处理；第三辑：可视化；第四辑：系统和控制；第五辑：通信；第六辑：模式识别；第七辑：信号；第八辑：图像视觉-This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and track Platform: |
Size: 6582272 |
Author:altsu |
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Description: this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering. Platform: |
Size: 83968 |
Author:sidharth |
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Description: 复杂背景下车牌定位与字符分割算法研究
本文在简要介绍国内外车牌识别技术研究现状的基础上，对车牌定位算法及字符分
割算法进行了深入的研究，主要完成以下工作：
车牌的定位算法设计阶段，本文提出了一种综合利用车牌多重特征的定位算法。该
算法充分利用了车牌的纹理，色彩及车牌长宽比等特征。经过水平梯度化，二值化，滤
波，区域连通、连通域标记筛选，色彩匹配等几个步骤，最终达到了复杂背景下汽车牌
照的定位。-Complex background license plate location and character segmentation algorithm of this paper, a brief introduction to license plate recognition technology at home and abroad on the basis of the status quo, on the license plate location and character segmentation algorithm is conducted in-depth study was completed for the following: license plates location algorithm design stage, this paper, a comprehensive utilization of multiple characteristics of license plate location algorithm. The algorithm makes full use of the license plate texture, color and license plate aspect ratio and other features. After level gradient, binarization, filtering, regional connectivity, connected component labeling filter, color matching, and several steps, ultimately achieving the complex background Locating the vehicle license. Platform: |
Size: 1760256 |
Author:zhangchunli |
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Description: 本文介绍了使用彩色纹理分割的彩色纹理分割聚类算法的多分辨率图像融合-The paper presents color texture segmentation using FCM for color texture segmentation based multi-resolution image fusion Platform: |
Size: 347136 |
Author:命运 |
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Description: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering. Platform: |
Size: 347136 |
Author:rupesh |
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Description: 车牌识别系统一般包括车牌定位、车牌切分、字符识别三部分，而车牌定位是车牌识别系统的基础和前提，其准确与否直接影响着车牌识别的准确率。本文针对这一关键问题进行了研究，提取了车牌的颜色特征并结合其纹理特征、几何特征以及投影特征进行准确定位。采用HSV颜色模型，利用颜色空间距离相似度计算分割颜色；针对颜色分割后的图像，车牌区域内水平方向上具有的连续跳变的特征，采用行扫描法确定车牌的上下边界；车牌区域内垂直方向具有投影特征，采用垂直投影法确定车牌的左右边界；最后根据车牌的宽高比判断是否是真实的车牌域。实验结果表明该方法效果较好、精度较高。-License plate recognition system generally includes license plate location, license plate segmentation and character recognition. And vehicle license plate location is a key stage of license plate recognition system, whose accuracy directly affects license plate recognition system’s performance. This paper studied the key issue, which mainly used color feature combining the texture feature, geometric feature to obtain accurately positioning. The HSV color space and similarity calculation was used to segmented image. Because the vehicle license plate have this property of consecutive beeps in horizontal direction, and line scanning method was used to determine the top and the bottom boundary of vehicle license plate. And also the vertical projection was used to determine the left and right boundary of the vehicle license plate because of its projection property in vertical direction. Finally, according to the HVR to judge whether the area is true. Experimental results showed that the al Platform: |
Size: 25062400 |
Author:张志斌 |
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Description: 图像作为一种特殊的图形，有着很强的描述自然的能力。在动画制作过程中，要充分的利用图像这种载体。
在前面章节中，已经给出了播放图像制作动画的例子，其实还可以缩放图像、旋转图像、分割图像、增强减弱图像颜色亮度等等制作动画，这些内容也属于图像处理的内容。
下面主要介绍基于OpenGL的（图像）纹理映射动画制作技术。
在学习OpenGL纹理映射动画制作的同时，还学习在VC++环境下使用Win32应用程序进行OpenGL程序设计
-Image as a special graphics, there is a strong description of natural ability. To take full advantage of the animation process, the image of this vector. Playing image animation examples have been given in the previous section, in fact, you can also scale the image, rotate an image, image segmentation, strengthen weakened the animation of the image color, brightness, etc., these elements also belong to the content of the image processing. The following describes the animation technique based on the OpenGL (image) texture mapping. While learning OpenGL texture mapping animation, but also to learn to use a Win32 application to carry out the OpenGL programming VC++ environment Platform: |
Size: 1422336 |
Author:zhaojun |
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Description: 该源码可以实现对彩色或灰度图像的曲波（Curvelet）特特征的提取，以便后续做纹理图像分割。，已通过测试。
-The source code can achieve on color or grayscale images the Curvelet (of Curvelet) special feature extraction, in order to follow-up to do texture segmentation. , Has been tested. Platform: |
Size: 4096 |
Author:xiairejin |
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Description: GrabCut 算法是一种高效的前景背景分割算法。传统分割算法应用纹理或边界信息中的一种进行分割, 而GrabCut 算法
综合利用了纹理及边界两种信息进行图像分割。GrabCut 算法是对Graph cuts 算法的改进, 具有分割精度高, 交互式操作少的优
点, 并将分割从灰度图像推广到了彩色图像领域, 是一种比较有前途的交互式分割算法。该算法用在静态图像编辑中的图片背景
更换, 取得了很好的效果。-The GrabCut algorithm is an efficient prospects background segmentation algorithm. A traditional segmentation algorithm applied texture or boundary information division, the comprehensive utilization of texture and boundary information GrabCut algorithm for image segmentation. The the GrabCut algorithm Graph cuts algorithm improvements, with high accuracy of segmentation and interactive operation, and split from the gray-scale image is extended to the field of color images, is a more promising interactive segmentation algorithm. The algorithm used in the static image editing image background replacement, has achieved very good results. Platform: |
Size: 7168 |
Author:diaoguangqiang |
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Description: Unsupervised segmentation of color-texture regions in images and video无监督的彩色图像分割方法，非常牛叉-Unsupervised segmentation of color-texture regions in images and video unsupervised color image segmentation method, is very cattle fork Platform: |
Size: 2494464 |
Author:俞正国 |
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Description: Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extension of DWT-based texture feature extraction method.
The 2-D DWT is computed by applying separable filter banks
to the gray level images. The detail images Dn,1, Dn,2,
and Dn,3 are obtained by band-pass filtering in a specific
direction, and they can be categorized into three frequency
bands: HL, LH, HH band, respectively. Each band contains
different directional information at scale n. The texture feature
is extracted from the variance (ó2
n,i) of the coefficients cn,i of
the detail image Dn,1, Dn,2, and Dn,3 at different scale n.To
represent the texture feature of an image q, the texture feature
vector of DWT is defined as [2]:
TDWT (q) = [ó2
1,1, ó2
1,2, ó2
1,3, ..., ó2N
max,3], (1)
where Nmax denotes the largest scale. In this work, Nmax Platform: |
Size: 1024 |
Author:lavanya |
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Description: GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理（颜色）信息和边界（反差）信息，只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大，分割的效果不好；不过，这种情况下允许手工标记一些前景或背景区域，这样能得到较好的结果。-GRABCUTOpenCV in GrabCut algorithm is based on the " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" in this article to achieve. The algorithm uses the image texture (color) and the boundary information (contrast) information, as long as the amount of user interaction to obtain a better segmentation results. If the color contrast between foreground and background is not, split ineffective however, allow manual marking some of the foreground or background areas, this can get better results in this case. Platform: |
Size: 81920 |
Author:yangpeide |
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Description: segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s).-segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s). Platform: |
Size: 335872 |
Author:dimpee |
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Description: coler design segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. -coler design segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Platform: |
Size: 4096 |
Author:dimpee |
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Description: 本程序主要描述了几种彩色图像的特征提取的方法，包含颜色、纹理、的特征提取，还有图像的分割、sift特征点的提取与匹配。-In this experiment an extracting features image based on content is designed.color and texture feature extraction methods are described.There are some segmentation methods and sift key point extraction and matching. Platform: |
Size: 4433920 |
Author:蔡晋茹 |
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Description: 在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素由一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。-In the field of computer vision, image segmentation (Segmentation) refers to the process of segmentation of digital images into a number of sub regions (pixels) (also known as super pixels). A small region composed of a series of adjacent pixels, which are similar in color, brightness, and texture. Most of these areas have retained the image segmentation of the effective information, and generally will not damage the image of the object boundary information. Platform: |
Size: 26624 |
Author:张荡荡 |
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Description: 图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素由一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。- image segmentation (Segmentation) refers to the process of segmentation of digital images into a number of sub regions (pixels) (also known as super pixels). A small region composed of a series of adjacent pixels, which are similar in color, brightness, and texture. Most of these areas have retained the image segmentation of the effective information, and generally will not damage the image of the object boundary information. Platform: |
Size: 2048 |
Author:张荡荡 |
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Search - texture in color segmentation