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Description: 基于主动轮廓的用于椭圆或圆检测的一篇文献。此文献的应用背景为眼底图像的分割。
-Based on Active Contour for oval or a circle detection literature. Application of this literature background for fundus image segmentation.
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Author: smallmule |
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Description: 利用Zernike多项式来描述人眼眼底波前畸变的matlab程序,其中还有PSF和MTS的计算,PPT的详细讨论,非常游泳-The use of Zernike polynomials to describe the human eye fundus wave-front aberration of matlab procedures, including PSF and MTS calculation, PPT detailed discussion, very Swimming
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Author: Tom |
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Description: 有关医学上眼底图像处理的一些文档，主要关于眼底图像的预处理，配准，拼接等-The medical fundus image processing some documents, mainly on the fundus image preprocessing, registration, stitching, etc.
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Author: yuqing |
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Description: Color fundus images often show important lighting variations, poor contrast and noise. In order to reduce these imperfections and generate images more suitable for extracting the pixel features demanded in the classification step, a preprocessing comprising the following steps is applied: 1) vessel central light reflex removal, 2) background homogenization, and 3) vessel enhancement. Next, a description of the procedure, illustrated through its application to a STARE database fundus image, is detailed.
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Size: 16384 |
Author: kumar |
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Description: 针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配，进而导致图像不能拼接的问题，提出一种在OpenCV配置环境下角点检测的基础上，进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners can not match, which led to the image can not be spliced problem, an environment in OpenCV corner detection configuration based on the new method of corner matching
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Size: 215040 |
Author: 唐浩 |
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Description: 一种基于灰度的区域灰度分割算法，主要用于视网膜血管分割-Segmentation algorithm based on gray-scale regional gray, mainly used for retinal vessel segmentation
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Size: 1024 |
Author: 罗汉 |
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Description: MFC 眼底图像背景增强，Diabetic retinopathy自动诊断的前期处理-MFC， fundus image background enhancement， preprocessing of Diabetic retinopathy automatic diagnosis
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Size: 36023296 |
Author: Yin |
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Description: 最新的一篇关于研究视网膜眼底图像配准的文章，很有参考意义-Latest article on the study retinal fundus image registration articles, great reference significance
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Author: shenben |
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Description: 这是医学图像处理中分水岭算法，利用图像形态学的基于区域的分割技术，本人已经成功对视网膜眼底图像进行分割，希望学习医学图像处理的同学可以得到有用的东西-This is watershed algorithm in medical image processing, the use of image morphology based on region segmentation technology, I have successfully in retinal fundus image segmentation, students want to study medical image processing can be useful
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Size: 3072 |
Author: 翟丽红 |
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Description: 用matlab检测视网膜眼底图像，达到自动识别视网膜病变-Detection of retinal fundus images using matlab to achieve automatic identification retinopathy
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Size: 1024 |
Author: yqy |
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Description: 眼底图像处理程序，包括平滑去噪等预处理和直方图双阈值分割-Fundus image processing procedures, including pre-and histogram smoothing denoising dual-threshold segmentation
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Size: 99328 |
Author: pan |
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Description: 提取糖尿病视网膜病变眼底图像上硬性渗出。将彩色图像转为灰度图，对灰度图进行形态学处理、去背景、阈值分割，最终将原图上的硬性渗出区域用绿色标记出来。-this word is to extrac the hard exudates on diabetic retinopathy fundus image. The color image to grayscale on grayscale morphological processing to the background, threshold segmentation, ultimately on the original hard exudates area marked in green.
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Size: 74752 |
Author: 潘燕红 |
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Description: 眼底病变的识别,使用对比度增强的方法。分类器使用了：最小距离分类器、Fisher线性分类器、二次分类器等。-Identification of fundus lesions, using the method of contrast enhancement. The classifier used: minimum distance classifier, Fisher classifier, the two classifier.
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Size: 4096 |
Author: 狗蛋 |
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Description: 这个程序代码用于提取眼底图像的血管，包括去噪、边缘检测-The program code for extracting a blood vessel image of the fundus, including denoising, edge detection
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Size: 35840 |
Author: 祝婉 |
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Description: 图像增强算法麦科伊增强图像的对比度，上软件吗直接运行-Three different filters are applied to a different fundus image: (a)
the original image (b) edge detection by using Sobel operator (c) edge
detection by using morphological edge detector and (d) detection of
blood vessels by using the proposed 2-D matched filter
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Size: 5407744 |
Author: 杨涛 |
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Description: For a particularly long time, automatic diagnosis of diabetic retinopathy digital
fundus images has been an active research topic in the medical image processing
community. The research interest is justified by the excellent potential for new
products in the medical industry and significant reductions in health care costs.
However, the maturity of proposed algorithms cannot be judged due to the lack
of commonly accepted and representative image with a verified ground
truth and strict uation protocol. In this study, an uation methodology is proposed
and an image with ground truth is described-For a particularly long time, automatic diagnosis of diabetic retinopathy digital
fundus images has been an active research topic in the medical image processing
community. The research interest is justified by the excellent potential for new
products in the medical industry and significant reductions in health care costs.
However, the maturity of proposed algorithms cannot be judged due to the lack
of commonly accepted and representative image with a verified ground
truth and strict uation protocol. In this study, an uation methodology is proposed
and an image with ground truth is described
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Size: 2048 |
Author: mohammad |
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Description: Automated detection of diabetic retinopathy on digital fundus images
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Size: 11004928 |
Author: RAJARAM |
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Description: Vessel segmentation fundus image using robust classifier
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Size: 243712 |
Author: Stalin D |
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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: 图像分割，想通过对眼底图像分割进行视盘自动定位-Segmentation, think through the fundus image segmentation disc automatic positioning
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Size: 1024 |
Author: Alice |
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