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Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的
空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.
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Size: 348160 |
Author: singro jiang |
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Description: 图像拼接的核心是图像的配准.提出一种准确、高效的图像拼接方法:利用Harris角点检测算子提取相邻图
像的特征点,通过Euclid度量改进熵变换的算法,进行特征点匹配,并通过最小均值二乘估计求解相邻图像的变换
矩阵,以此实现宽视角图像的拼接.实验结果表明:所给出的算法能够实现场景图像的精确匹配.
-Image mosaic is the core of image registration. Make an accurate and efficient method of image mosaic: Using Harris corner detection operator extracting feature points of adjacent images, through the improvement of Euclid metric entropy transform algorithm, the feature point matching, and by minimizing the mean estimate for solving二乘adjacent image transformation matrix, as the realization of wide viewing angle image mosaic. The experimental results show that: given algorithm to achieve accurate matching scenes images.
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Size: 160768 |
Author: 王钰 |
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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: Windows的小历史：第一篇如何写作Windows程序的介绍文章出现在《Microsoft Systems Journal》1986年12月号上。在那篇文章中，范例程序叫做WSZ（「what size：什么尺寸」），它以图素、英寸和毫米为单位显示了显示区域的大小。那个程序的更简易版本是whatsize。程序显示了以五种度量映像方式显示的窗口显示区域的大小。-Windows Small history: how to write the first introduction of Windows procedures in the article " Microsoft Systems Journal" 1986 years on its 12 month. In that article, the example of the procedure is called WSZ ( " what size: What size" ), its pixels, inches and millimeters for the unit demonstrated the size of display area. Procedures that are more user-friendly version whatsize. Program shows the way to five metric image of the window shows the size of display area.
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Size: 1142784 |
Author: xuqin |
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Description: 这是第二个有关图像配准的重要资料，对于图像配准很有帮助，原文件名为Correction of B0 susceptibility induced distortion in diffusion-weighted images using large-deformation diffeomorphic metric mapping.pdf-This is the second related to the importance of image registration information useful for image registration, the original document, entitled Correction of B0 susceptibility induced distortion in diffusion-weighted images using large-deformation diffeomorphic metric mapping.pdf
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Size: 927744 |
Author: 李慧娟 |
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Description: 计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步-G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil
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Size: 5120 |
Author: 李荣智 |
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Description: 使用ITK的，可用于图像配准的混沌优化算法。使用的是ITK的平移变换和最小均方差metric-Can be used for image registration of Chaos Optimization Algorithm
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Size: 5120 |
Author: 朱晞颜 |
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Description:
Motion detection results
If you double-click the Switch block so that the signal is connected to the SAD side, the Video Viewer block displays the SAD values, which represent the absolute value of the difference between the current and previous image. When these SAD values exceed a threshold value, the demo highlights the quadrant in red.
Note that the difference image itself may be viewed, in place of the original intensity image, along with the red motion highlighting, which indicates how the SAD metric works.
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Size: 11264 |
Author: radim.rh |
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Description: By using a weighted metric, it is possible to shorten the distance between the query and relevant
images and elongate the distance between the query and irrelevant images. Our results on a large
image database
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Size: 1024 |
Author: rach |
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Description: The idea is from "The Blur Effect: Perception and Estimation with a New No-Reference Perceptual Blur Metric"
Crété-Roffet F., Dolmiere T., Ladret P., Nicolas M. - GRENOBLE - 2007
In SPIE proceedings - SPIE Electronic Imaging Symposium Conf Human Vision and Electronic Imaging, É tats-Unis d Amérique (2007)-Measure the blur level of still image.
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Size: 2048 |
Author: 李劲松 |
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Description: 图像去模糊的一篇重要文献，通过相关分析，对模糊图像的成像原理进行分析，并根据相关关系来得到模糊参数的估计方法。-Image deblurring an important document, by correlation analysis, fuzzy image of the imaging principle of the analysis, and according to relationship to get fuzzy parameters estimation.
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Size: 497664 |
Author: HUJINGTAO |
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Description: Watermarking embeds information into a digital signal like
audio, image, or video. Reversible image watermarking can restore the
original image without any distortion after the hidden data is extracted.
In this paper, we present a novel reversible watermarking scheme using
an interpolation technique, which can embed a large amount of covert
data into images with imperceptible modification. Different from previous
watermarking schemes, we utilize the interpolation-error, the difference
between interpolation value and corresponding pixel value
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Size: 225280 |
Author: isclor |
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Description: 本程序实现了论文<<A NEW QUALITY METRIC FOR IMAGE FUSION >>和论文<<Object imag fusion performance measure>>关于融合图像质量评估的算法。-this file is the matlab code of two papers <<A NEW QUALITY METRIC FOR IMAGE FUSION >>and <<Object imag fusion performance measure>>
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Size: 5120 |
Author: zoelong |
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Description: Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval
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Size: 2048 |
Author: 丁小晨 |
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Description: 2面部图像匹配范围使用复杂的小波结构相似性度量——wacv07
-2Facial range image matching using the complex wavelet structural similarity metric--wacv07
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Size: 238592 |
Author: fangsm8 |
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Description: Matlab source code for image quality metric.
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Size: 1024 |
Author: masoud |
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Description: 图像融合的质量评价指标，每个文件都有详细说明，每个指标都有相应的论文出处。亲测，可以使用。-Image quality uation of fusion, each file has a detailed description of each indicator has a corresponding paper source. Pro-test, can be used.
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Size: 10500096 |
Author: 侯夕欢 |
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Description: Conventional approaches to render a scene require geometric description such as polygonal meshes,
etc and appearance descriptions such as lights and material properties. To render high quality images
such descriptions, we require very accurate models and materials. Creating such accurate geo-
metric models of real scenes is a difficult and time consuming problem. Image Based Rendering (IBR)
holds a lot of promise for navigating through a real world scene without modeling it manually. Different
representations have been proposed for IBR in the literature. In this thesis, we explore the Depth Image
representation consisiting of depth maps and texture images a number of viewpoints as a rich and
viable representation for IBR.-Conventional approaches to render a scene require geometric description such as polygonal meshes,
etc and appearance descriptions such as lights and material properties. To render high quality images
such descriptions, we require very accurate models and materials. Creating such accurate geo-
metric models of real scenes is a difficult and time consuming problem. Image Based Rendering (IBR)
holds a lot of promise for navigating through a real world scene without modeling it manually. Different
representations have been proposed for IBR in the literature. In this thesis, we explore the Depth Image
representation consisiting of depth maps and texture images a number of viewpoints as a rich and
viable representation for IBR.
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Size: 1764352 |
Author: phonox |
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Description: 对于各种图像融合，可以利用其中函数进行结果评估(For various image fusion, the function can be used to evaluate the results)
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Size: 16384 |
Author: 糗之不得
|
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Description: 程明明实验室给出的关于图像显著性方面的测评指标代码(Cheng Mingming's laboratory evaluation index code for image saliency)
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Size: 5139456 |
Author: 54321木头人 |
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