image-segmentation

经典数字图像处理算法仿真，包括图像的傅里叶滤波及压缩，图像的DCT高通、低通滤波，图像直方图均衡化，图像平滑与锐化，图像的模糊化，哈夫曼编码等，以及GUI图形化界面。(Classic digital image processing algorithm simulation, including Fourier filtering and image compression, image DCT high-pass, low-pass filtering, image histogram equalization, image smoothing and sharpening, blurring the image, Huffman coding, as well as GUI graphical interface.)

自己编的求图像熵值的小程序，用来理解熵的含义和概念。(Own image for the entropy of small procedures, used to understand the meaning and concept of entropy.)

图像自定义选区取图源码例程程序结合易语言扩展界面支持库和操作系统界面功能支持库，实现图像自定义选区功能。(Custom image taken Figure source selection routine program combining easy language support library expansion interface and operating system interface features support library that implements a custom image selection feature.)

说明：  基于分水岭变换的浮选泡沫图像分割基于分水岭变换的浮选泡沫图像分割(GOODGOODGOODGOODGOODGOODGOODGOOD)

演示了点阵字符的绘制方法，visual c++源码(Demonstrates a dot matrix characters drawing method, c++ source code)

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 )

SUN：利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。(SUN: A Bayesian Framework for Saliency Using Natural Statistics)

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

通过matlab实现jpeg图像压缩编码。(To realise jpeg coding.)

说明：  一个SAR目标边缘自动检测与定位算法的一个车辆检测的视频(A vehicle detection, an automatic detection and localization of SAR edge algorithm of video)