Description: 基于小波变换的图像融合，采用的是区域的6种算法-based on wavelet transform image fusion, using the region's six algorithms Platform: |
Size: 3111 |
Author:赵志强 |
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Description: 基于小波变换的图像融合，采用的是区域的6种算法-based on wavelet transform image fusion, using the region's six algorithms Platform: |
Size: 3072 |
Author:赵志强 |
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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: -The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain. Platform: |
Size: 67584 |
Author:Harry |
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Description: 本程序包是基于多分辨率分析的图像融合算法，其中包括基于区域的融合算法。对应程序有相关的文章，是学习图像融合最有用的资料。-This package is based on the analysis of multi-resolution image fusion algorithms, including region-based fusion algorithm. Procedures related to the corresponding articles, image fusion is to study the most useful information. Platform: |
Size: 19348480 |
Author:bin24 |
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Description: 基于matlab小波变换的图像融合，采用的是区域的6种算法-Matlab wavelet transform based image fusion, using the region of six kinds of algorithms Platform: |
Size: 4096 |
Author:高飞 |
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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: 小波变换在图像融合中的应用已有不少,但大多是热图像和可视图像的融合,在医学图像融合方面的研
究还比较少。针对这一现状,提出了基于形态学小波的医学多分辨率融合方法和小波域基于差值图像分割的加权融
合方法。该方法保留了小波的视觉效果,同时在很大程度上减少了运算的复杂度,优化了加权系数的计算方法,得到
了较好的融合效果。实验结果表明了该算法的优越性。-There are many app lications ofwavelet transform to image fusion. But the images fusioned usually are thermal
or visible images. A multi2resolution fusion method based on morphology wavelet and a weighted fusion method based on
difference image segmentation in wavelet region formedical imageswere p roposed. These methodsmaintained the visual effect
of wavelet, reduced the computation comp lexity to a great extent, and op timized the computation ofweighted coefficients. The
experimental results show the excellent fusion effect by these methods. Platform: |
Size: 367616 |
Author:杨颜华 |
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Description: 基于小波变换的图像融合源代码，利用的融合规则分别使用简单的模值取大和基于区域能量。-Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy. Platform: |
Size: 98304 |
Author:葛宏 |
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Description: 基于小波的脑部MR与伪彩色PET医学图像融合，低频采用加权平均，高频采用3*3区域标准差的融合规则，效果很好，内含一组脑部MR与PET医学图像-Simulation Wavelet-based for brain PET and MR image fusion, low frequency using the weighted average and high frequency using region-based standard deviation fusion rule, the effect is very good, including a set of MR and PET images Platform: |
Size: 40960 |
Author:陈向 |
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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: 图像融合的经典方法有很强的学习价值算法改进-Image fusion refers to the techniques that integrate complementary information from multiple image
sensors’ data in a way that makes the new images more suitable for human visual perception and reduces
computation processing tasks. In this paper, we propose a non-parametric and region-based image fusion
based on the Bootstrap sampling (BS) principle Platform: |
Size: 654336 |
Author:黄显武 |
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Description: 图像融合 是基于小波变换方法 融合规则是基于区域最大值法-Image fusion is based on wavelet transform method based on region fusion rules is the maximum method Platform: |
Size: 1024 |
Author:王越 |
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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。
-License plate recognition technology has been widely applied in intelligent transport systems, license plate segmentation is an important part of the license plate recognition. Compared based on the color image license plate segmentation using gray-scale image license plate segmentation, you can effectively eliminate the shadow impact of the license plate colors is also a parameter of the license plate recognition. The color-coded class handles the characteristic function, can reduce the color coordinate conversion operator, to improve the speed of classification of color. Discussed in detail in the plate characteristics, given the license plate to split the detailed steps. Plate region distinguish the use of information fusion technology. The license plate tilt correction combined with the license plate to tilt the characteristics of the fast algorithm. Platform: |
Size: 142336 |
Author:xpntt |
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Description: 本文主要介绍了常用的遥感图像算法，然后从数学角度分析融合图像产生光谱失真的原因，并探讨融合图像在空间分辨率增强与光谱信息保持二者之间的关系，最后针对多光谱图像的成像特性，分别提出了基于区域特性的多光谱与全色图像的融合算法及SAR与全色图像的融合算法，并且介绍了基于区域特性的遥感图像融合最新动态及其发展趋势。-This paper describes the algorithm used for remote sensing image, and then fused image from a mathematical point of view of the cause of spectral distortion, and to explore the spatial resolution of the fused image enhancement and spectral information to maintain the relationship between the two, the last imaging for multi-spectral image characteristics, respectively, based on region features multi-spectral and panchromatic image fusion algorithms and SAR and panchromatic image fusion algorithm, and describes the characteristics of remote sensing image based on regional integration and the latest trends. Platform: |
Size: 253952 |
Author:简凡 |
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Description: 对遥感图像进行图像融合，基于各类IHS算的编程实现，并有效加强植被区域-Remote sensing image fusion, IHS-based operator of various types of programming, and effectively strengthen the vegetation region Platform: |
Size: 2048 |
Author:naivoten |
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Description: 提出一种新的显着性检测方法，通过将区域级显着性估计和像素级显着性预测与CNN（表示为CRPSD）相结合。对于像素级显着性预测，通过修改VGGNet体系结构来执行完全卷积神经网络（称为像素级CNN）以执行多尺度特征学习，基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计，首先设计基于自适应超像素的区域生成技术以将图像分割成区域，基于该区域通过使用CNN模型（称为区域级CNN）来估计区域级显着性。通过使用另一CNN（称为融合CNN）融合像素级和区域级显着性以形成nal显着图，并且联合学习像素级CNN和融合CNN。对四个公共基准数据集的大量定量和定性实验表明，所提出的方法大大优于最先进的显着性检测方法。-A new saliency detection method by significant regional level estimates and forecast significant pixel level and CNN (expressed as CRPSD) combined. For pixel-level significant prediction to perform a full convolution neural network by modifying VGGNet architecture (called pixel-level CNN) learning to perform multi-scale features, image to image prediction to complete the pixel level detection based on the significant learning . For regional levels significantly estimate, the first generation technology to design image is divided into regions based on adaptive super-pixel area, based on the model of the region through the use of CNN (CNN called regional level) to estimate regional levels significantly. By using another CNN (CNN called fusion) Fusion pixel level and regional level to form nal significant saliency map, and the Joint Learning pixel level fusion CNN and CNN. Four common reference data set of a large number of quantitative and qualitative experiments show that the proposed m Platform: |
Size: 4427776 |
Author:祖祖- |
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Description: 图像融合之在小波变换基础上基于区域的系数绝对值取大融合-Based on the absolute value of the region to take large image fusion rules Platform: |
Size: 1024 |
Author:张晓 |
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Search - region based image fusion