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模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行(nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK)

此matlab程序用于横向和纵向都被剪碎的纸片的拼接复原，高质量(This matlab program is used for the stitching of both horizontal and vertical pieces that are cut and broken, and of high quality)

PDF417条码定位与检测，视频课程作业，很好的定位了条码而且将其旋转到正方向(PDF417 bar code location and detection, video course work, a good positioning of the bar code and will rotate to the positive direction of its)

包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码(Which are used in the IHS, PCA-weighted Image Fusion Algorithm three Matlab source code)

人脸检测程序。在菜单上有许多功能选项，可实现多角度，多目的检测。(face detection procedures. In the menu options are many functions that can be achieved from different angles, multi-purpose testing.)

说明：  利用brisk算法对两张图片进行特征检测，并且实现图像拼接。(The brisk algorithm is used to detect the features of the two images and realize the image mosaic.)

openCV中文版 附目录 本书主要介绍: 1.透彻介绍OpenCV 2.从摄像机获取输入 3.图像的变换 4.图像的分割和形状的匹配 5.模式识别，包括人脸检测 6.二维和三维场景中的跟踪监测 7.根据立体视觉进行三维重构 8.机器学习算法(the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm)

精通MATLAB数字图像处理与识别 chapter11 代码(Proficient in MATLAB digital image processing and recognition chapter11 code)

imx377 手册 imx377 datasheet imx377 datasheet(imx377datashee, imx377datasheet,imx377datasheet)

1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)