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Description: Description: Functions for aligning images by rotation and translation:
im_reg_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
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Size: 2907 |
Author: gz |
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Description: Description: Functions for aligning images by rotation and translation: image_registr_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
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Size: 4656 |
Author: gz |
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Description: 计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算-calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation
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Size: 1179 |
Author: zhyancheng72 |
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Description: Description: Functions for aligning images by rotation and translation:
im_reg_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
-Description: Functions for aligning images by rotation and translation:
im_reg_MI.m
MI2- calculating Mutual information
joint_h- calculating Joint histogram
Platform: |
Size: 3072 |
Author: gz |
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Description: Description: Functions for aligning images by rotation and translation: image_registr_MI.m
MI2 - calculating Mutual information
joint_h - calculating Joint histogram
-Description: Functions for aligning images by rotation and translation: image_registr_MI.m
MI2- calculating Mutual information
joint_h- calculating Joint histogram
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Size: 4096 |
Author: gz |
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Description: 计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算-calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation
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Size: 1024 |
Author: zhyancheng72 |
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Description: 本程序是基于OpenCV的程序，进行基本矩阵的计算，采用7点算法、8点算法。-the OpenCV are based on the procedures, the basic matrix calculation, using 7:00 algorithm, 8:00 algorithm.
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Size: 45056 |
Author: njg |
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Description: 该方法采用反对称双正交小波分解系数计算视频帧的方向梯度向量，再统计由梯度向量角和模值构成的联合空间二维直方图，然后计算连续帧直方图之间的距离，得到两帧之间的不连续值，最后采用自适应阈值分割，检测出镜头边界。-This method is the use of anti-symmetric biorthogonal wavelet decomposition coefficients video frame the direction of gradient vector, and then statistics from the gradient vector angle and modulus values constitute the joint space of two-dimensional histogram, and then calculating the histogram for the distance between frames, by the two frames between the consecutive values, the final adaptive threshold segmentation, shot boundary detected.
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Size: 144384 |
Author: 韩瑞冬 |
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Description: 计算两幅图像的互信息和联合直方图，适于图像处理初学者，-Calculation of two images of the mutual information and joint histogram, image processing is suitable for beginners,
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Size: 1024 |
Author: zhangji |
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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. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-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. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
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Size: 98304 |
Author: Harry |
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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.
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Size: 67584 |
Author: Harry |
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Description: 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshift algorithm which is a robust statistical method of finding the mode (top) of a probability distribution. Both CAMSHIFT and Meanshift algorithms exist in the library. While it is a very fast and simple method of tracking, because CAMSHIFT tracks the center and size of the probability distribution of an object, it is only as good as the probability distribution that you produce for the object. Typically the probability distribution is derived from color via a histogram, although it could be produced from correlation, recognition scores or bolstered by frame differencing or motion detection schemes, or joint probabilities of different colors/motions etc.
In this application, we use only the most simplistic approach: A 1-D Hue histogram is sampled from the object in an HSV color space version of the image. To produce the
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Size: 15360 |
Author: 黄文伟 |
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Description: 基于CUDA的立体视觉
在本文中，我们提出了一个基于GPU的加速方法，以加快计算量图像配准
统一设备架构（CUDA技术）。一种新颖的CUDA技术为基础的联合直方图计算方法介绍
在这个文件，该文件还对二维图像配准和其他应用程序的一般图形宝贵。此外，
1算法的改进，提出改进FMRIB广泛使用的线性图像注册工具
（调情）。虽然采取了额外的时间是通过应用该算法的改进，我们的实现表明，
能够执行一个完整的12个自由度（自由度）的两个脑容量图像配准在近35秒，
时间大约是10比本地调情执行速度更快。实验结果表明，我们的
算法的改进与实施能避免一些不当注册。-In this paper, we propose a GPU-based acceleration method to speed up volume image registration using Compute
Unified Device Architecture(CUDA). An novel CUDA-based method for joint histogram computation is introduced
in this paper, which is also valuable for 2D image registration and other general graphics applications. Additionally,
an algorithm refinement is proposed to improve the widely used FMRIB’s Linear Image Registration Tool
(FLIRT). Although extra time is taken by applying that algorithm refinements, our implementation showed the
ability to perform a full 12 DOF (Degrees of Freedom) registration of two brain volume image in nearly 35 seconds,
which is about 10 time faster than the native FLIRT implementation. Experimental results showed that our
implementation with algorithm refinement can avoid some mis-registration.
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Size: 3177472 |
Author: 王冉 |
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Description: Calculates the joint histogram of two images or signals
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Size: 1024 |
Author: chemalema |
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Description: title of the project is ROBUST OBJECT TRACKING USING JOINT
COLOR-TEXTURE HISTOGRAM
i hav added ieee paper description
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Size: 5608448 |
Author: lallu |
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Description: That s just a histogram for two images. To get the joint histogram, you need a histogram that s a 2D array.
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Size: 1024 |
Author: Vikram |
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Description: matlab编写的代码，在图像配准中，联合直方图的计算-matlab code written, image registration, the joint histogram calculation
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Size: 3072 |
Author: 周弢弢 |
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Description: 包括画单图的直方图，均衡直方图，归一化直方图以及两幅图像的联合直方图；修正了读入图像时要在同一目录下、以及图像的格式和是否为RGB图像的限制；修正了画两幅图像联合直方图时，大小需要保持一致的限制-Paintings include single graph histogram, histogram equalization, the normalized image histogram and two joint histogram amended to read into the images in the same directory, and image formats and whether the restrictions RGB images Fixed painting two joint histogram, the need to maintain a consistent size restrictions
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Size: 2048 |
Author: 王波 |
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Description: 针对基于最大互信息图像配 准的不足 研究 了基于 H a r r ls角点算子的多模态医学图像配准。在计算互信 息的时候,采用部分体积插值法计算联合灰度直方 图-Based on the maximum mutual information for image registration based on the lack of H arr ls corner operator multimodal medical image registration. In calculating the mutual information when the partial volume interpolation method using joint histogram
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Size: 352256 |
Author: 高嘉瑜 |
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Description: 介绍了PV插值法以及几何变换，可用来计算联合直方图，之后用于图像配准-Introduces the PV interpolation and geometric transformations, used to calculate the joint histogram, for image registration after
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Size: 1024 |
Author: 乔玉龙 |
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