资源列表
sc3
- 通过观察图像lena_noise.bmp可以看到，该图像主要包含高斯噪声、椒盐噪声等。 通过查阅资料可知，维纳滤波可以很好的滤除高斯噪声，而中值滤波对于椒盐噪声的滤出效果优异，因此本次采用维纳+中值的滤波方式进行图像的去噪处理。 图像常用评价方法有：信噪比、相关系数、清晰度。信噪比较为常用；相关系数 由于滤波会使原图像失去某些细节，因此这种评价方式为参考性指标而非绝对评判标准；清晰度 为图像子块的方差 综合考虑采用图像的峰值信噪比(PSNR)作为评价去噪效果指标(自编PSNR.
digital-image-processing
- 本文档实现了图像的几何和灰度归一化，并实现了均衡化处理和拉普拉斯处理-This document implements the geometric and grayscale image normalization, and to achieve the equalization processing and handling Laplace
LS_Unwrape
- 最小二乘相位解包裹算法，基于快速傅里叶变换-Least-squares algorithm for phase unwrapping
arnoldx
- 鉴于许多文献上附的ARNOLD置乱程序不能用，故自己修改的确实可行的一种ARNOLD置乱代码-Given that many of the literature accompanying ARNOLD scrambling procedure can not be used, it is feasible to modify their own kind ARNOLD scrambling code
Arnold
- 鉴于现在许多文献上的Arnold置乱与反置乱程序并不好用，故自己写了一套Arnold置乱与反置乱程序。-As many documents about Arnold scrambling and anti-scrambling program is not easy to use, so wrote a set of Arnold scrambling and anti-scrambling process.
second2
- 静态背景目标跟踪。采用帧间差，去噪处理，区域生长法。还原前景。-Static background target tracking. Using inter-frame difference, denoising, region growing method. Restore outlook.
demo
- 车牌识别的边框去除,去除边框的干扰，便于字符的分割与识别。-LPR border removal, removal of border interference, ease of character segmentation and recognition.
diercimonijingsai
- 基于神经网络LVQ的人脸朝向识别。对一部分人脸图像进行训练，再输入另外一部分人脸图，判断其人脸朝向-LVQ neural network based on the face towards the identification. On the part of face images for training, and then enter another part of the face diagram, determine its face towards the
a
- 实现图像反转的matlab小程序，需要的可以下载-Matlab for image reversal applet needs to be downloaded
b
- 图像灰度线性变换matlab小程序，有兴趣可以-Gray linear transformation matlab small procedures, are interested can look
c
- 图像的非线性变换matlab小程序，有兴趣可以-Nonlinear transform matlab image applets, are interested can look
d
- 图像直方图均衡化的matlab小程序，有兴趣可以-Image histogram equalization matlab small procedures, are interested can look