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Description: 视网膜图像的归一化Matlab源代码程序-retinal images to a source of Matlab procedures
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Size: 1024 |
Author: xiong |
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Description: 中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他
人先后提出了Retinex 不同的变种, 最新的一个版
本是中心/ 环绕Retinex 7 。该方法比较以前的版
本, 运算速度显著提高, 而且物理意义更加清楚。
这种运算与人类视网膜和大脑皮层神经元的神经生
理学函数相关, 其形式类似于自然视觉科学中常用
来模拟单个神经元感受野的高斯差分函数-center/around Retinex algorithm. Since Retinex theory, Land I and others have raised Retinex different varieties, The latest version is a center/around Retinex 7. The method compared with the old version, computational speed significantly improved, but more clear physical meaning. Such operations and human retinal neurons in the brain and nerve function related physiology, form similar to the natural visual science used to simulate the feeling of individual neurons in the wild Difference of Gaussian function
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Size: 4096 |
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Description: 主要是对视网膜图像进行血管分割，效果还不错-Primarily on retinal vascular image segmentation, the effect was not bad
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Size: 1945600 |
Author: frank |
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Description: Retinal Blood vessel extraction using Matlab by morphological processing
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Size: 1024 |
Author: anukavi_s |
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Description: 文献 一种分步式多模态视网膜图像自动配准方法-Literature a step-by-step multi-modal automatic retinal image registration method
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Size: 160768 |
Author: zhanglei |
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Description: 文献 基于灰度-梯度共生矩阵的视网膜血管分割方法-Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method
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Size: 173056 |
Author: zhanglei |
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Description: 霍夫变换，基于视网膜图片的霍夫变换，C++Builder环境下运行-Hough transform, Hough transform-based retinal image, C++ Builder environment running
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Size: 4096 |
Author: 木木 |
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Description: retinal recognition biometric
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Size: 152576 |
Author: marcus |
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Description: 提出一种新的基于分支结构特征的视网膜图像配准方法，此算法可降低误匹配的点。能够应用到其他图像配准中，形成良好的等级结构。-Feature-Based Retinal ImageRegistration Using
Bifurcation Structures
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Size: 1687552 |
Author: 张玲 |
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Description: the image processing technique in obtaining the features present in the blood vessels of a retinal image is given
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Size: 32768 |
Author: Madhavaraja |
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Description: The matlab source code for the paper "A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration". This paper has been accepted by IEEE Transaction on Biomedical Engineering.-The matlab source code for the paper "A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration". This paper has been accepted by IEEE Transaction on Biomedical Engineering.
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Size: 20480 |
Author: 陈健 |
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Description: 数字减影增强处理血管造影图像，可以处理眼底视网膜DSA图像-Digital subtraction angiography image enhancement processing, can handle the retinal image DSA
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Size: 2048 |
Author: 李绅 |
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Description: 一种彩色滤波阵列图像色调映射自适应视觉模型,作者Maylan.-A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images
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Size: 2556928 |
Author: 傅琦 |
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Description: 对眼底血管进行活动检测，交互功能，带有GUI界面-Detection of retinal blood vessels to carry out activities
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Size: 399360 |
Author: z |
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Description: its a code used to explain the complete dscription of the matlab code in matlab
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Size: 4096 |
Author: rathish babu |
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Description: this plood rogram is about retinal blood vessel extraction in an quality and to improve performance by means of matched fillters and first order differntial gausian function.
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Size: 22528 |
Author: krishnan |
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Description: Retinal blood vessel measurement, Tracing algorithm work better-Retinal blood vessel measurement, Tracing algorithm work better..
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Size: 89088 |
Author: Sumit |
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Description: Detection of blood vessels in Retinal Images Using Tow-dimensional Matched Filters-Detection of blood vessels in Retinal Images Using Tow-dimensional Matched Filters
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Size: 1090560 |
Author: hani1986ye |
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Description: This paper presents an automated blood vessel detection method the fundus image. The method first performs some basic image preprocessing tasks on the gray-scale of the retinal image. The blood vessels are highlighted using by using contrast enhancement and average filter. The performance of the proposed method is tested by applying it on retinal images Digital Retinal Images for Vessel Extraction (DRIVE)database. Accuracy of the proposed method is found to be higher than the other methods which imply that the proposed method is more efficient and accurate.
-This paper presents an automated blood vessel detection method the fundus image. The method first performs some basic image preprocessing tasks on the gray-scale of the retinal image. The blood vessels are highlighted using by using contrast enhancement and average filter. The performance of the proposed method is tested by applying it on retinal images Digital Retinal Images for Vessel Extraction (DRIVE)database. Accuracy of the proposed method is found to be higher than the other methods which imply that the proposed method is more efficient and accurate.
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Size: 429056 |
Author: kvmanas |
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Description: A model based method for retinal blood vessel detection
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Size: 300032 |
Author: javad |
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