softmatting

关于计算机视觉和图像的matlab工具箱。包括相位一致性特征，空间特征检测，积分图像，非极大值抑制和滞后阈值，边链接和线段拟合，去噪，等(MATLAB and Octave Functions for Computer Vision and Image Processing。such as • Feature Detection via Phase Congruency • Spatial Feature Detection • Integral Images • Non-Maxima Suppression and Hysteresis Thresholding • Edge Linking and Line Segment Fitting • Test Grating for Edge Detection • Image Denoising • Surface Normals to Surfaces • Scalogram Calculation • Anisotropic diffusion • Grey Scale Transformation and Enhancement • Frequency Domain Transformations • Functions Supporting Projective Geometry • Feature Matching • Model Fitting and Robust Estimation • Fingerprint Enhancement • Interesting Synthetic Images • ASCII Image Generation • Rotation Transforms • Image Blending • Colourmaps and colour conversions • Image Display, Image Writing and Miscellaneous )

matlab图像处理中中加入椒盐噪声的源代码。(add salt and pepper noise matlab source code.)

有效的实现车牌定位，车牌字符分割和车牌字符识别。(To achieve effective positioning plate, the vehicle registration license plate character segmentation and character recognition.)

DISKREET: FOR CHANGING DISKREET LEVEL OF AN IMAGE

能够实现图像的纹理检测，可以直接调入一个图像然后得到纹理(to achieve the texture image detection, can be directly transferred to a texture image is then)

运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。(The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the same time to protect the edge of the image.)

说明：  PCL+ MFC+ Visualization 点云显示(PCL+ MFC+ Visualization)

详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)

利用傅里叶变换方法自动处理正弦条纹图像，获得条纹图相位(Fourier transform method for automatic processing of sinusoidal fringe image obtained fringe pattern phase)

说明：  基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)