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SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性，亲身检测可用(SIFT feature is a local feature of image. It keeps invariant to rotation, scaling, brightness change, and also keeps a certain degree of stability to view angle change, affine transformation and noise.)

使用背景差分法实现一般视频的前景运动目标提取和检测。(The background difference method is used to realize the extraction and detection of the foreground moving target in the general video.)

一种最新的点云邻域尺寸的选择方法，对点云后续处理，包括特征提取、点云分类等有很大的帮助(One of the latest point cloud neighborhood size selection method for point cloud subsequent processing, including feature extraction, point cloud classification is very helpful)

同名核线的提取，完整的c++代码，注释详细易懂，并且已经验证过(Line of the same name as the nuclear extract, complete c++ code, comments, detailed and easy to understand, and have been verified)

FPGA数字图像处理实现均值滤波，并且仿真将生成图片写出TXT格式以便使用MATLAB查看(Mean filter is realized by digital image processing in FPGA, and the generated image is written in TXT format for viewing with MATLAB.)

基于边缘特征的图像配准算法源码 基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域： （1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究； （2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合； （3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等； （4）计算机视觉，可用于目标定位、自动质量控制等； （5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。 本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。(Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.)

编制一个通用的边缘提取函数。通过输入不同的参数，能够实现Sobel算子、Prewitt算子、Roberts算子、Marr算子和Canny边缘检测。 实验图像任选 (Preparation of a common edge extraction function. By entering different parameters to achieve the Sobel operator, Prewitt operator, Roberts, operator, operator of Marr and Canny edge detection. Experimental image optional)

Gabor滤波器方法提取纹理特征的两个函数，采用5个尺度和6个方向，运用于灰度图。(Gabor filters to extract texture features of the two functions, using the five scales and six directions, applied to grayscale.)

说明：  细胞跟踪算法.文件中有细胞的运动模拟视频,说明文件.内容比较复杂,适合于研究生以上的研究人员揣摩.(Tracking Algorithm: Object Delineation Method Multiparticle.)

模式识别应用范围广泛，在机器学习，图像处理，运动目标检测与跟踪方面具有较大的应用价值。是本好书，值得推荐。(pattern recognition applied extensively in machine learning, image processing, moving target detection and tracking with greater value. Is a book worth recommending.)