▍1. edge_forcing
心血管分割，多尺度， 对于中心点的位置有很强的鲁棒性(Edge forcing)
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▍2. eccv-10
Real-time Specular Highlight Removal实现论文“Real-time Specular Highlight Removal Using Bilateral Filtering”中算法(Real-time Specular Highlight Removal Papers " Real-time Specular Highlight Removal Using Bilateral Filtering" in the algorithm)
▍3. automate_image
DIC测试，适用于二维数字图像相关法，采用的ZNSSD，输入图像需为灰度图像，输出仿射矩阵(Measuring strain in samples which are too small, big, compliant, soft or hot are typical scenarios where non-contact techniques are needed. A technique which can cover all that and also can deal with complicated strain fields in structures or structural materials is the Digital Image Correlation. With this technique, strain can be calculated from a series of consecutive images with sub pixel resolution as will be shown in the following chapters.)
▍4. RMSHE and AMHE
RMSHE and AMSHE 可直接运行的直方图增强算法，附有相关的论文(RMSHE and AMSHE can be directly run by histogram enhancement algorithm, with related papers.)
▍6. Gamma-correction
对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)
▍7. Gamma-correction
说明： 对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)
▍8. Gamma
利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed. The parameters of the two-dimensional gamma function are adjusted by the distribution characteristics of the illumination component, the brightness value of the light illuminated region is reduced and the brightness value of the light dark area is improved. Finally, the adaptive correction of the uneven illumination image is realized. Positive treatment.)
▍9. singalframenuc
通过统计直方图并作相应的处理完成了红外图像非均匀性校正，特别是针对红外图像中常见的条纹非均匀性(Through statistical histogram and processed accordingly infrared image non-uniformity correction, especially for the common striped infrared image non-uniformity)
▍10. singalframenuc
通过统计直方图并作相应的处理完成了红外图像非均匀性校正，特别是针对红外图像中常见的条纹非均匀性(Through statistical histogram and processed accordingly infrared image non-uniformity correction, especially for the common striped infrared image non-uniformity)
▍11. roughness
用于轴承球与滚道之间，模拟生成非高斯随机粗擦表面(Analog generate non-Gaussian random rough surfaces rub)
▍12. demo_ASIFT_src
asift的matlab和c程序都在里面 大家慢慢研究吧 很好的程序(asift the matlab and c procedures are on the inside we study it slowly very good program)
▍13. sslle
semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )
▍14. sslle
semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )
▍15. dwtwatermark
基于dwt的数字图像水印技术的matlab源代码。包括嵌入和提取，效果不错。(Dwt-based digital image watermarking technique matlab source code. Including the embedding and extraction, good results.)
▍16. 基于DWT的数字水印的嵌入与提取
说明： 基于小波变换的数字水印，包含的嵌入与提取代码，原理等(Digital watermarking based on wavelet transform, including embedded and extracted code, principle, etc)
▍17. DWT_watermark
实现数字图像水印DWT域的水印可以进行水印的嵌入与提取(Realization of digital image watermark embedding and extracting watermark in DWT domain for watermarking)
▍18. mRMR_0.9_compiled
利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)
▍19. raw2rgb
读取raw图，并转换为rgb图，显示转换后的rgb图(Figure raw read and convert rgb showing the converted diagram rgb)
▍20. ColorHistogram
将图像转换到HSV空间，并对其进行量化降维后，计算其颜色直方图(Image conversion to HSV space, and to quantify the dimensionality reduction, the calculation of its color histogram)
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