▍1. 图像融合代码
说明： 整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)
更多选项
▍4. subset_4_6
数字图像相关中的亚像素位移计算方法之牛顿迭代法的函数。参数包括参考图像、变形图像和迭代步长(The Function of Newton s Iteration Method for Sub- pixel Displacement Calculation in Digital Image Correlation. The parameters include the reference image, the deformed image, and the iterative step)
▍5. LevelSetMethods
医学图像分割水平及方法理论书籍《Level Set Methods and Dynamic Implicit Surfaces》代码(Medical image segmentation level of theory and methodology of the book )
▍7. DFT-DCT
说明： 基于VC++的图像的DFT变换和DCT变换，并可实现两者间的对比转换(VC++ based on the image of the DFT transform and DCT transform, and to achieve the contrast between the two conversion)
▍8. 基于Hessian矩阵增强的心血管分割
基于Hessian矩阵对输入的心血管图像进行增强和分割(The input cardiovascular images are enhanced and segmented based on the Hessian matrix)
▍10. VC_FFT
傅里叶变换：采用VC++编写，实现二维图像的傅里叶变换(Fourier Transform: The VC++ prepared to achieve the two-dimensional Fourier transform of the image)
▍11. 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)
▍12. 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.)
▍13. 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.)
▍14. 直方图算法
说明： HEBBHEDSIHERMSHERSIHE 可直接运行的直方图增强算法。(HEBBHEDSIHERMSHERSIHE can be directly run by histogram enhancement algorithm.)
▍15. 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.)
▍16. 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.)
▍17. 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.)
▍18. 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)
▍19. 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)
▍20. 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)
本站资源：696518 个
本站会员：104225 个
总计下载：492399 次
今日上传：0 个
- 优秀论文及配套源码 SVM Short-term-Load-Forecasting
- 综合能源优化含储能
- 用遗传算法改进粒子群GA-PSO算法
- 通过粒子群能够很好的解决优化问题 pso
- 天牛群算法 BSO
- 混沌粒子群优化算法
- 2019年中国研究生数学建模竞赛E题
- 智能算法的Matlab仿真程序及教程
- 《MATLAB R2016a神经网络设计与应用28个案例分析》随书代码
- BAS BP论文及代码
- denoising
- Airy 基模高斯光束
- EMS Microgrid
- 2012年全国大学生数学建模竞赛题目--葡萄酒的评价Wines-Evaluation
- GA-bp
- 本人调试的大作业 源程序模型+论文 intelligent_control_modle
- LSTM的例子、单向LSTM、双向LSTM、多层LSTM
- 遗传算法优化BP网络案例
- 通过yalmip平台调用cplex求解器 microgrid Cplex
- 基于lstm算法在MATLAB对短期风速进行预测 LSTM-regression-master
