Harris.rar

基于模糊对比度的图像增强方法，大致过程仍然是先把图像从空间域映射到模糊域，在模糊域内通过定义一个局部对比度算子，然后通过对凸函数的加强来放大像素邻域的各像素之间的差异。 (Based on the fuzzy contrast image enhancement method, the general process is still the first images from space domain is mapped to the fuzzy field in fuzzy field through the define a local contrast operator, and then the convex function to enlarge the strengthening of pixels each neighborhood pixel differences. )

说明：  使用vivado HLS工具实现的直方图均衡化(EqualizeHist with vivado HLS)

图像分割 基于区域的分离和合并 实例 自己写的(SPLITMERGE Segment an image using a splil-and-merge algorithm.)

图像处理的小波变换领域得到了快速发展与应用，本文分析在遥感图像增强中的应用及MATLAB实现(Imagery processing s wavelet transformation domain obtained the fast development and the application, this article analyzes in the remote sensing image intensification the application and MATLAB realizes )

包括harris经典算法、harris-Laplace算法，以及susan算法，鲁棒性好(Harris, including the classic algorithm, harris-Laplace algorithm, as well as susan algorithm, better robustness)

本源代码是自己编写的关于图像小目标的检测（matlab版），其中包括对不同对比度、信噪比下的图像小目标进行检测。(The source code is written about the image of his small target detection (matlab edition), including the different contrast, signal-to-noise ratio of image detect small targets.)

用matlab编写的harris角点检测与匹配程序，适用于matlab图像处理与编程(Matlab prepared with harris corner detection and matching procedures, applicable to matlab image processing and programming)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

遗传算法/大津法/区域生长法/迭代法分割图像,有详细注释，适合学习(Genetic algorithm/dajin method/area growth method/iteration method image segmentation, and have the detailed notes, suitable for learning )

C# 旋转图片并显示 RotateFlip 实例