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人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的(artificial selection cluster center, k-means clustering method for image segmentation, the good results)

说明：  通过matlab，可以快速得到图像的特定区域的灰度值，里面也有一些解释(Through MATLAB, we can quickly get the gray value of the specific region of the image, which also has some explanations)

实现凸多边形排样，使用临界多边形NFP判断两个凸多边形是否相交,使用启发式算法提高效率(It s a good implement of convex polygon stock.)

空间金字塔，通过对图片不断的进行层次划分，对每一层的图片信息进行整理用于图片分类等(Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories )

说明：  小波模极大值用于边缘特征提取.很好的一个matlab算法，可以直接验证。(Wavelet modulus maxima for edge feature extraction algorithm matlab good one can be directly verified.)

Roberts算子，Prewitt算子，Sobel算子，Marr算子，Canny算子之一对输入图像 实现边缘检测，输出边缘图像并与matlab自带函数实现进行对比(Roberts operator, Prewitt operator, Sobel operator, Marr operator, Canny operator to achieve one of the input image edge detection, the output edge image and bring their own matlab function compared)

自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序(own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure)

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 )

基于FFT的配准程序，用在图像配准中的粗匹配中，对噪声、图像中物体发生运动等极为鲁棒！ (FFT-based registration procedure, used in image registration in the coarse matching, noise, motion and other image objects occur very robust!)

实现基于卡尔曼滤波器的多目标跟踪，可进行相关了解与研究(object tracking based on kalman)