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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 segme
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基于边缘特征的图像配准算法源码
基于边缘特征的图像配准算法是将不同时间、不同的传感器(成像设备)或不同条件下(天候、照度、摄像位置和角度等)获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理,最终生成一幅全景图像的方法。该方法具有抗噪性强,匹配速度快,误匹配率低,适用于多种类型的图像等优点,主要可以运用于以下领域:
(1)军事研究领域,如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究;
(2)医学图像分析,如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、
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Medical image fusion by wavelet transform
modulus maxima,医学图像融合-Medical image fusion by wavelet transformmodulus maxima, medical image fusion
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本文借助多尺度分析为手段,
研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等
关键问题的理论方法研究,扩展了尺度的含义,使其不再局限在通常的小波分
析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpo
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用C写的图像融合代码,包括了医学图像融合、多焦点图像融合和多传感器图像融和等多种类型的融和算法,运行速度快。-Image fusion with the C written code, including the medical image fusion, multi-focus image fusion and multi-sensor image fusion and many other types of fusion algorithms, to run fast.
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应用小波变换 模极大值算法实现医学图像(CT图像和MRI图像)的融合-Wavelet transform modulus maxima to achieve medical image fusion
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应用小波变换最大值法实现医学图像的融合算法-Based on wavelet transform method to achieve maximum medical image fusion algorithm
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分析了如何利用小波变换技术对图像进行信息融合使读者从整体上对医学图像融合技术有一个比较清楚直观的理解
-Analysis of how to use wavelet transform to the image information fusion, so that readers from the whole of the medical image fusion technology has a relatively clear and intuitive understanding.
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基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题,推崇寻找某种适当的空间变换,使两幅图达到空间位置上的定位和配准,进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an
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医学图像融合为临床诊断、手术设计与效果评估等提供不同模态影像互补信息。构造具有3 阶消失矩的双正交多小波滤
波器, 其以高斯函数一次泰勒规范展开正交化后得到的完备二次单位正交基作为尺度函数。利用构造的多小波滤波器, 分别对
CT、MRI 医学图像进行分解, 使用基于多小波分解改进的局部能量加权规则融合图像。结果表明改进规则融合了源图像主要信息,
优于常用的融合规则。应用构造的多小波滤波器可有效地融合医学图像, 略优于DGHM多小波-Medical image fusion provi
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Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retr
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图像融合的目的把来自多传感器的数据互补信息合并成一幅新的图像,以改善图像的质量。图像融合最简单的理解就是两个(或多个)图像间的相加运算。这一技术广泛应用于多频谱图像理解和医学图像处理等领域。主要分为空域和频域相加。-The purpose of image fusion from multiple sensor data to complement the information merged into a new image to improve image quality. The simp
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fusion paper for research use only
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medical image fusion in breast cancer.
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medical image fusion usin IHS
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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
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Multi-Focus Medical Image Fusion Using DT_CWT.
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this a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.-this is a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medic
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多模态医学图像融合技术,针对CT图像和超声图像融合,采用光学/电磁设备定位,外文文献-Multi-mode medical image fusion technology, for CT image and ultrasonic image fusion, using optical/electromagnetic device positioning, foreign literature
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基于SIDWT的医学图像融合算法,详细叙述了平移不变小波分解原理,提出一种新的基于SIDWT的融合算法-Based on the SIDWT medical image fusion algorithm, the principle of translation invariant wavelet decomposition is described in detail, and a new fusion algorithm based on SIDWT is proposed
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