搜索资源列表
Retinal_Blood_Vessel_Extraction
- the image processing technique in obtaining the features present in the blood vessels of a retinal image is given
background
- 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
logpolar
- Log-polar resampling of an image, and back-sampling to retinal plane
retina
- Improve retinal image
TEST
- Retinal image blood vessel extraction
main
- main function for retinal image viewer
Shubham-IVth-Year-Fuzzy
- Fuzzy logic base matlab segmentation code for retinal image registration.
IMAGE SEGMENTATION USING MEAN SHIFT
- IMAGE SEGMENTATION USING MEAN SHIFT ALGORUTHM USED FOR BLOOD VESSEL SEGMENATTION
Blood-vessel-extraction
- blood vessel extraction retinal image using coyefilter-blood vessel extraction retinal image using coyefilter
Retinal_image_processing
- 通过对视网膜光相干层析图像进行预处理，为进一步的图像识别与分析打下了良好的基础-Through the pretreatment of retinal optical coherence tomography, a good foundation is laid for further image recognition and analysis.
New-Code
- Blood Vessels Segmentation using Retinal Image to find Diseases
Enhancement-Based-on-Visual-Property
- 常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整 体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞 感受野的传输特性,提出一种仿生图像增强算法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度 对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯 模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该
colorConstancy
- 根据色彩一致性理论，即Retinex理论编写的图像增强算法，实现彩色图像增强。包括单尺度视网膜增强（SSR），多尺度视网膜增强（MSR）还有其他相关增强算法。-According to the color consistency theory, that is, Retinex theory to write the image enhancement algorithm to achieve color image enhancement. Including single-scale ret