Description: 图像分割源程序
通过融合处理，％ image segmentation based on multispectral image fusion
％ and morphology reconstruction watershed
％ main program
-image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphology reconstruction wat ershed% main program Platform: |
Size: 1255 |
Author:li mingxi |
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Description: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
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Size: 1485969 |
Author:Son Tran |
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Description: This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick s work, and also on J. Weickert s papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion
-This toolbox has functions to perform nonl inear diffusion images. This kind of image fi ltering is particularly useful for reducing no ise and to simplify images for further segmenta tion. Much of these functions are based on Peron a and Malick's work, and also on J. Weickert's papers. The hypothetical fast AOS fusion is implemented. There is also 3D diffusi on functions, color image diffusion and Coherence- enhancin g diffusion Platform: |
Size: 145408 |
Author: |
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Description: 卡尔曼滤波C程序 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filtering C program Kalman filter is an "optimal recursive da ta processing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
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Description: 图像分割源程序
通过融合处理，％ image segmentation based on multispectral image fusion
％ and morphology reconstruction watershed
％ main program
-image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphology reconstruction wat ershed% main program Platform: |
Size: 1024 |
Author:li mingxi |
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Description: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
Platform: |
Size: 1485824 |
Author:Son Tran |
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Description: matlab的小波变换源代码，可用于图像融合，分割等-matlab wavelet transform source code, can be used for image fusion, segmentation, etc. Platform: |
Size: 198656 |
Author:keilantra |
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Description: 智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌
区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license plate recognition technology has been widely applied, the vehicle registration license plate segmentation is an important part of identification. License Plate Based on Color Image Segmentation and the use of gray-scale image segmentation compared to plate, you can effectively remove the shadow, while the color plates License Plate Recognition is also a parameter. Color classification to deal with the use of characteristic function, can reduce the color coordinate transformation operation, improve the speed of color classification. Discussed in detail the characteristics of the Chinese license plate, license plate segmentation gives the detailed steps. License plate region using information fusion techniques discriminant. License plate license plate combination of slant correction tilt characteristics of fast algorithm. Platform: |
Size: 142336 |
Author:memcpy |
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Description: 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode. Platform: |
Size: 482304 |
Author:媛媛 |
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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: 文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then calculate the contrast of each piece, the image block is divided into clear blocks, fuzzy block, to clear blocks and fuzzy block is defined as the border region adjacent to area, integration time, a clear block directly select the corresponding block as a fusion, for the border region, the wavelet decomposition on the basis of the pixel-based contrast method selected for processing. Platform: |
Size: 338944 |
Author:许国柱 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
Size: 897024 |
Author:周二牛 |
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Description: 些成熟的瓜果果实在单一的光谱图像中，果与叶的灰度值只存在微小差异，常用的图像分割方法不足以把果与叶区分开，为此，提出一种基于多光谱图像融合的形态学重构分割方法。-More mature fruits and fruit in a single spectral image, the fruit and leaves only a minor difference in gray scale, commonly used image segmentation approach is not sufficient to separate the fruit and leaf area, this paper, a multispectral image fusion morphological reconstruction segmentation. Platform: |
Size: 495616 |
Author:xiliao |
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Description: 提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊
C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering for image fusion method. The method first C2 means clustering algorithm using the fuzzy multi-channel Gabo r filter in the formation of the image feature space segmentation re fused to treat multi-scale wavelet decomposition image on this basis, the use Gabo r filter from the high frequency structural similarity region texture features, application areas and the information structure similarity weighting factor, resulting in fusion of the wavelet coefficients Finally, the inverse wavelet transform fusion image. Platform: |
Size: 458752 |
Author:guoj |
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Description: 本书是数字图像处理实验室指导书，有数字图像获取、图像变换、 图像增强、 图像压缩、图像分割、图像融合等内容和程序代码
-This book is a guide book Digital Image Processing Lab, a digital image acquisition, image transformation, image enhancement, image compression, image segmentation, image fusion and other content and program code Platform: |
Size: 81920 |
Author:lancy |
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Description: Image segmentation based on fusion of edge information and region growing with the use of Markov random fields Platform: |
Size: 4096 |
Author:Anton |
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Description: 一篇基于目标分割的红外与可见光图像的融合研究文章，正在从事红外与可见光图像融合的可以下载-An object segmentation based on the integration of research articles infrared and visible images, is engaged in the infrared and visible image fusion can be downloaded Platform: |
Size: 342016 |
Author:牟娇 |
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Description:
5图像融合的隐马尔科夫模型及其在医学影像计算联合分割-A hidden Markov Model for image fusion and their joint segmentation in medical image computin Platform: |
Size: 336896 |
Author:fangsm |
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Search - image fusion segmentation