▍1. RK龙格库塔计算微分方程组
使用4阶龙格库塔定理计算一阶微分方程组，方程组有3个方程(RK calculation of differential equations)
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▍2. hessian_frangi_filter_version2a
基于Hessian矩阵增强提取二维或三维医学图像中的血管(Vessel enhancement and extraction from 2D or 3D medical images)
▍3. 000siftDemo
双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)
▍4. BreakPlot
matlab作图 截断y坐标画法 可以自定义截断y坐标范围(matlab code break y axis)
▍6. image_processing
图像处理入门编程 包括动态跟踪和视频处理 有对应的任务指导书(image processing include the mission book)
▍7. 图像融合算法
针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)
▍8. 盲解卷积复原
盲去卷积复原算法，并在MATLAB中进行实验，和维纳滤波的复原效果进行一个对比。盲去卷积的方法有多种，露西-理查德森算法属于图像复原中的非线性算法，与维纳滤波这种较为直接的算法不同，该算法使用非线性迭代技术，在计算量、性能方面都有了一定提升(The blind deconvolution restoration algorithm is carried out in MATLAB and is compared with the restoration effect of Wiener filtering. There are many ways of blind deconvolution. Lucy Richardson algorithm is a nonlinear algorithm in image restoration. Unlike Wiener filtering, this algorithm uses nonlinear iteration technology, and has a certain improvement in computation and performance.)
▍9. 模糊粒子群FuzzyPSO
此FCM-PSO是对于FCM的改进，用于图像分割，效果好。(it is an improvement on FCM for image segmentation)
▍10. TOOLBOX_calib
加州理工经典的摄像机标定程序，张正友博士的文章算法(The camera calibration program of the California Institute of Technology, the article algorithm of Dr. Zhang Zhengyou)
▍12. Gabor Wavelet Feature Extraction
Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)
▍14. SINQ_release
用于立体图像质量评价的无参考图像质量评价程序，运行在matlab环境下。(A no-reference image quality evaluation program for the quality evaluation of stereoscopic images, running in the MATLAB environment .)
▍16. final1AHE0310
通过PCA+Retinex对图像进行图像增强处理(Image enhancement processing by PCA+Retinex)
▍17. Wavelet_SR
本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)
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