Image-SNR

本程序通过水平和垂直灰度投影，框选出灰度面部图像中的眼睛区域。(This program is used to locate eye region in gray facial image by means of horizontal and vertical projection.)

说明：  通过检测二维小波变换的模极大值点可以确定图像的边缘点，利用小波变换的多尺度性用于图像的边缘检测(By detecting modulus maxima point of two-dimensional wavelet transform we can determine the image edge points, using multi-scale nature of wavelet transform in image edge detection)

说明：  思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态 范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个 图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)

雷达波形捷变联合数字水印单目标抑制算法研究(Radar jamming, radar waveform modulation frequency-agile multi-target anti-interference)

应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

a file abaut image segmentation

用八叉树法对逆向工程得到扫描的三维实体模型图像处理，实现了对大量点云数据进行三维网格构建。(Octree method of reverse engineering can be scanned 3D solid model of image processing, realize the construct 3D mesh of a lot of point cloud data.)

尺度空间sift算法的matlab实现，对理解算法步骤很有帮助(Scale space sift algorithm matlab to achieve an understanding of the steps of the algorithm helpful)

击中和击不中变换，可以很好的找出想要的图像，对图像识别和分割有很好的帮助(miss or not miss)

说明：  利用matlab实现图像的直接反投影重建结果(Using Matlab to Realize Direct Back Projection Reconstruction Results of Images)