资源列表
SUSAN
- 用于角点检测的SUSAN算法，可靠性高、计算量小、抗噪能力强-For corner detection SUSAN algorithm, high reliability and a small amount of calculation, strong noise immunity
declarations-for-OpenCV
- 这是载入OpenCv上的函数对图像进行标定的算法，但目前我不会使用OpenCv平台-This function is loaded on the image OpenCv calibration algorithm, but I will not use OpenCv platform
pinpufenxi
- 是一种基于matlab做的一个频谱分析仪，带有GUI界面。可以自己产生语音信号分析，也可以从文件夹中读取信号分析。-Is a spectrum analyzer based on MATLAB, with GUI interface. You can generate voice signal analysis, you can read the folder signal analysis.
arrow
- draw an arrow on a image in Matlab using points
BLS-GSM
- BLS-GSM代表“Bayesian Least Squares - Gaussian Scale Mixture(贝叶斯最小二乘-高斯尺度混合模型)”。 这个工具箱实现了该篇论文中介绍的算法： J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE Transaction
BM3D
- 这个工具箱是BM3D算法的matlab实现。BM3D是一种图像滤波算法，使用了块匹配方法以及三维变换，滤波效果非常不错！-This toolbox implements the BM3D algorithm on matlab. BM3D is an image denoising algorithm ,which adopts the block matching method and three-dimensional transform, and the filtering result
NL-Means
- Non-local means算法由A. Buades, B. Coll, J.M Morel提出。该算法的主要参考文献为： A. Buades, B. Coll, J.M Morel, A review of image denoising algorithms, with a new one , Multiscale Modeling and Simulation (SIAM interdisciplinary journal), Vol 4 (2), pp: 49
averfilter
- 用CVI12.0实现均值滤波，包括载入图像、均值滤波、退出程序-CVI12.0 achieve with mean filtering, including loading the image, mean filter, quit the program
Middlefilter
- 用CVI实现中值滤波，应用于消除图像中的各种噪声。-CVI achieve with median filtering applied to eliminate all kinds of noise in the image.
mysecond
- 可以显示四种信号的CVI应用程序。包括正弦信号方波信号三角波信号随机信号-CVI applications can display four signals. Square wave signal comprises a sinusoidal signal triangular wave signal random signal
xiaobofenjie
- 利用vc实现小波分解与小波重构的功能，亲测可用-Use vc wavelet decomposition and reconstruction of wavelet function, pro-test available
Distance-Regularized-Level-Set
- 水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型，是下面一篇带距离正则化的水平集方程论文的应用： C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,