搜索资源列表
Linear-constrained
- 使用matlab实现有约束条件的最小二乘法混合像元线性分解-matlab code of linear LS unmixing
test9
- OpenCV 的圆形标记点的提取方法， 通过对图像进行平滑处理 、 边缘检测 、 轮 廓查找 、 几何约束以及椭圆拟合， 实现圆形标记点的提取。 有关圆形物体识别的场合。 -Extraction OpenCV circular markers by the image smoothing, edge detection, contour search, geometric constraints and ellipse fitting, to achieve extraction of ci
sparse_fusion
- 运用最小二乘和一范数约束求解低分辨率多光谱图像和高分辨率全色图像融合成高分辨率多光谱图像，程序附带主流的图像融合评价标准，需要融合的图像，对比图像；以及附带程序所需的稀疏包-Using least squares and a norm constraint solving low-resolution multi-spectral image and panchromatic image fusion into a high-resolution multi-spectral images, t
FCMs
- 以标准化fcm分割为基础的，结合空间隶属度约束的改进算法-Fcm divided based on a standardized, combined with space constraints improved algorithm membership
dutuajiaozheng
- 读取图像，检测特征点，寻找匹配特征点对，运用几何约束去除外点，校正图像-Reads the image detection feature point, look for matching feature points, the use of geometric constraints to except point, the corrected image
DELAUNAY
- DELAUNAY约束边嵌入算法的详细描述，可以参考一下-DELAUNAY constrained edge embedded detailed descr iption of the algorithm, can refer to
image-restoration
- 对比五种模糊图像复原算法，包括：维纳滤波算法、约束最小二乘滤波算法、Richardson-Lucy（RL）算法、循环边界算法和最优窗算法。-introduces the five kinds of image restoration algorithms, including wiener filtration, constrained least squares filtering, Richardson-Lucy, cyclic boundary algorithm and optimal
colaborative-demo
- 基于协同稀疏表示的解混方法，因为每个端元的相似性，本文采用协同稀疏表示来约束每个像素采用相同位置系数不同的原子-Collaborative Sparse Regression for Hyperspectral Unmixing
jiancezhixian
- 为了能有效解决H ough 变换的计算量大的问题，文中提出了一种基于直线局部结构特征的H ough 变换改进的直 线检测算法。该算法根据F reem an 准则分析了直线上基元的特征信息，通过图像上邻近的同类基元的倾斜角约束基元上 像素点的极角范围，减少每个点的计算次数，在保持精度的同时，提高直线检测的速度，在有噪声的情况下，该算法相对标 准H ough 变换算法可以提高到6 到7 倍。 -In o rder to effectively solve the pro blem o
lamp_head
- 光场图像渲染技术，利用稀疏分层算法对图像深度进行分层渲染，再利用颜色一致性约束进行去噪处理，通过所给出的图像阵列渲染出中间各个视点的图像-Optical field image rendering technology, the use of sparse hierarchical algorithm for image depth rendering, and then the use of color consistency constraints for noise processing,
demo_SGMKL
- 多核学习Sparse GMKL的代码，采用L1+L2范数约束，代码很详尽！-Multicore learning Sparse GMKL code, using L1+L2 norm constraint, the code is very detailed!
hyperCEM
- 图像目标检测算法中的约束最小能量（CEM）检测算法-Image target detection algorithm of constrained least energy detection algorithm (CEM)
cpmc
- 参数约束最小割算法程序，获取图像的目标假设-cpmc,to get the figure-groud hypotheses
LowPatchRank_regularization
- 对于带噪声的周期性纹理图像,提出一种基于二维秩约束的混合正则化去噪方法。该方法结合了全变分去噪理论和方法，并且利用该类图像低块秩的特性，对图像进行了低块秩约束。通过和全变分去噪方法比较可知，对于周期性纹理图像，混合正则化方法能有效地分离出噪声，并且能让图像很好地保持边缘。即使非严格的周期性纹理，该方法依然有很好的去噪效果。-For periodic texture images with noise, a new method based on two dimensional rank cons
shuixiajixianyueshu
- 用于水下图像做特征点匹配时，剔除错误的匹配对，类似于空气中常用的极线约束-For underwater images do match feature points, excluding the wrong matching, similar to commonly used air epipolar constraint
nmfsc
- 基于梯度下降的稀疏约束 NMF 算法(NMFsc)，之前pudn上也有类似的，但缺少一个程序，这里面都包括了 -Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included
osgVR
- osg用约束线去掉想去掉三角网的区域，实现地形的裁剪和编辑，方便灵活。-osg with constraint remove want to remove triangulation area Terrain cutting and editing, convenient and flexible.
knn-graph-construction
- 内容包括图像的分块，利用图像块构造一个k临近的graph，以及graph约束下结合小波变换的简单恢复 作为参考。-Including block-dividing in images, and then use image blocks to construct a k adjacent graph, and graph regularized and wavelet transform to recover the image- as a reference.
dehaze
- 基于边界约束和上下文正则化的图像快速去雾算法-Effi cient Image Dehazing with Boundary Constraint and Contextual
CLAHE
- 有限对比适应性均衡化是一种有约束的局部直方图构造方法，而不是全局。在高亮区和暗区的增强能力要远优于常规的直方图均衡化，图像视觉效果更加清晰。-Finite contrast adaptive equalization is a constrained local histogram construction method, rather than a global. The enhancement capability of the highlighted area and dark regio