curves-movement-by-level-set-method

图像融合工具包：包含多种基本图像融合方法 开发环境：matlab(Image Fusion tool kits : a mixture of basic image fusion method development environment : Matlab)

利用傅立叶变换的图像同态滤波，解决光照不均的问题(Use of Fourier transform images homomorphic filtering to solve the problem of uneven illumination)

查找图像的局部极大值，功能强大，速度快，精度高(Finding the local maximum of an image is powerful, fast and accurate.)

说明：  利用BP算法进行SAR成像，BP算法是一种对时域回波数据进行成像的算法(BP algorithm was used for SAR imaging)

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 )

双数复小波阈值除噪程序，可以实现双数复小波分解及重构。并能实现阈值除噪。(Double the number of complex wavelet threshold denoising procedures can achieve double the number of complex wavelet decomposition and reconstruction. And to achieve the threshold noise removal.)

用python实现图像的LBP特征提取，参数可以自己修改。(Get a LBP image original binary image with python.)

图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。(Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most famous conjecture.)

Images of diffraction

说明：  信息隐藏里LSB隐写方案的RS分析方法，附有详细注解。(Information hiding in LSB Steganography Scheme RS analysis, with detailed notes.)