▍1. 指纹增强
指纹增强，使用的是ＳＴＦＴ短时傅里叶方法，可用。(Fingerprint enhancement, using the STFT short time Fourier method, is available.)
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▍2. TwoDZuiXiaoFuzzyEntropy
基于二维直方图的最大模糊熵阈值图像分割，相比于一维最大模糊熵，分割效果更好。隶属度函数采用S函数(Based on two-dimensional histogram maximum fuzzy entropy threshold image segmentation, compared to one-dimensional maximum fuzzy entropy segmentation better)
▍3. CeYiZhi_2_off
视觉仿生学在图像处理中具有非常重要的作用，视觉侧抑制原理在目标增强中具有很大的潜力(Bionics in visual image processing has a very important role in the visual principles of lateral inhibition in the target has great potential to enhance)
▍4. lateral-inhibition-example-matlab
利用侧抑制原理编写的一个最基本的小程序。程序实现了初步的轮廓提取效果。可供想要入门侧抑制原理的朋友参考。(The use of lateral inhibition, a basic principle of writing a small program. Program to achieve the initial contour extraction results. Introduction to principles of lateral inhibition for want of a friend for reference.)
▍5. PCNN(lateralinhibition)
基于侧抑制的图像分割，在ＰＣＮＮ分割的基础上实现(failed to translate)
▍6. xiaobozengqiang
首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)
▍7. CZT
CZT变换进行信号频谱分析，解决了FFT法频域分辨不高的问题，源码开发，特别适用(Chirp Z Transform)
▍8. SpectrumEnvelopeRemoving
该代码采用IDL语言实现了从光谱库读取高光谱曲线，并且去除其包络。这是高光谱图像处理时一个重要的预处理技术。(The code using IDL language library to read from the spectrum of high spectral curve, and the removal of the envelope. It is time hyperspectral image processing is an important pre-processing techniques.)
▍9. imageEnhanementMatlab
基于DWT的图像自适应增强 ，可以用于图像增强的源代码(matlab)
▍10. RANSAC-for-Outlier-Rejection
基于RANSAC算法的图像匹配过程，包括提出该算法的文章以及文章中所提到的所有程序代码，可以实现具有高度异常点的图像匹配过程。(RANSAC algorithm based on image matching process, including all the program code of the algorithm proposed article and the article mentioned, the image matching process can be achieved with a high degree of abnormal points.)
▍11. RANSAC-for-Outlier-Rejection
基于RANSAC算法的图像匹配过程，包括提出该算法的文章以及文章中所提到的所有程序代码，可以实现具有高度异常点的图像匹配过程。(RANSAC algorithm based on image matching process, including all the program code of the algorithm proposed article and the article mentioned, the image matching process can be achieved with a high degree of abnormal points.)
▍12. 1088736_dssz
随机中点位移法matlab程序代码，生成三维山地模型(Random Midpoint Displacement Method for Mountains Generation)
▍13. 1088736_dssz
说明： 随机中点位移法matlab程序代码，生成三维山地模型(Random Midpoint Displacement Method for Mountains Generation)
▍14. lightcompensation
提供了两种光照补偿的方法进行比较，一种是参考白，一种是非线性补偿，并添加了直方图比较和参考文档。(Offers two illumination compensation methods were compared, one is the reference white, one is non-linear compensation, and adds a histogram comparison and reference documentation.)
▍15. HALCON_CIRCLE
一个简单的HALCON计算圆心坐标的例子，C++代码格式，初学者适用！(A simple example of calculating coordinates HALCON, c++ code format, for beginners!)
▍16. 基于opencv的Kinect深度图像的去噪，滤波
基于opencv的Kinect深度图像的去噪，滤波(Opencv based Kinect depth image denoising, filtering)
▍17. nighttime-dehazing-master
说明： 采用通道差的引导滤波进行大气光估计和明暗通道混合的夜间去雾(The guiding filter of channel difference is used for atmospheric light estimation and night defogging with mixed light and dark channels)
▍18. EDLines 快速直线检测算子
EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)
▍19. gradientImage
自然图像的梯度分布为重尾分布，超拉普拉斯分布，本代码通过概率统计画出梯度分布的曲线(The heavy-tailed distribution of gradients in natural scenes have proven effective priors for a range of problems such as denoising, deblurring and super-resolution.These distributions are well modeled by a hyper-Laplacian)
▍20. imageintensify
基于Matlab的结合Laplacian Pyramid 和反锐化掩膜的改进法的图像增强算法(Matlab based on a combination of Laplacian Pyramid and unsharp mask to improve the method of image enhancement algorithm)
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