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drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
ridgeDetection_CPP
- 把图像放置在Gaussian Scale Space，并求出各层图像的Hessian 矩阵。 通过Hessian举证，来求出图像中的blob和ridge。-The image is placed in the Gaussian Scale Space, and calculate the Hessian matrix of the layers of the image. At last the blob and ridge of the image will be detected.
demo_ASIFT_src
- 考虑了放射变换因素，比sift有更好的效果，但是速度由于增加了旋转的考虑会变慢很多！-A fully affine invariant image comparison method, Affine-SIFT (ASIFT) is introduced. While SIFT is fully invariant with respect to only four parameters namely zoom, rotation and translation, the new method t
hession
- 海森矩阵数学公式的matlab实现，以及雅克比矩阵的数学实现-Hessian matrix matlab implementation of mathematical formulas and mathematical realization Jacobian matrix
SURF-based-image-stitching
- SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
affintpoints
- 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测 参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hess
surf
- This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descr iptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descr ipto
hesaff-master
- 影像仿射变换特征提取，结合 sift 等局部特征可以处理较大视角变化下的图像匹配。-This is an implementation of Hessian-Affine detector.
gaijin_hessian
- 一种改进后的海森矩阵算法代码，针对医学图像处理效果比较好，可以识别较细的血管。-An improved Hessian matrix algorithm code, medical image processing effects for better, you can identify smaller vessels.
Hessian
- 基于海森矩阵的视网膜图像血管增强，用到特征值-Retinal vascular image enhancement based on hazen matrix, use characteristic value
hessian_frangi_filter_version2a
- 基于Hessian矩阵增强提取二维或三维医学图像中的血管(Vessel enhancement and extraction from 2D or 3D medical images)
Vessel diameter血管直径检测
- 采用mom方法结合Hessian和曲线拟合的方法计算出血管的直径并输出测量图像，采用图像处理方法获得图像骨架，经调试代码可用。(The diameter of blood vessel is calculated by mom method combined with Hessian and curve fitting method, and the measured image is output. The image skeleton is obtained by image process