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利用数字图像处理软件halocn来进行缺陷检测，附带有之前做工程项目的原图源代码，还有ppt和实验指导书(Halocn using digital image processing software for defect detection, comes with artwork done before the project source code, as well as ppt and experimental instructions)

实现图像匹配，ssda算法，自主截图选择匹配位置(To achieve image matching, ssda algorithm, self-selection match position screenshots)

图像匹配，通过选定模板图像和要要匹配的图像，在要匹配的图像中用红色方框标记处匹配的区域。(Image matching, through the selected template image and want to match the image, to match the image using the red mark at the box matches the area.)

自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

读入多组点云数据，全局配准，得到经过配准矫正后的图像数据 文件格式：*.PLY(Read multiple point cloud data, global registration, the registration to be corrected after the image data file formats:*. PLY)

说明：  该课题为基于MATLAB平台的PCA的人脸识别图像考勤系统。传统的人脸识别都是直接人头和人头的对比，现实意义不大，这块都做烂了，不易通过毕设答辩，而且论文不好写。该课题识别原理为：从一副生活照中寻找到人脸，并且分割人脸图象，利用PCA算法进行降维，和库里图片进行对比，输出目标人脸以及记录识别的时间，可以统计人脸打卡的当月次数，从而统计出勤率。该课题还可以继续二次开发，做成库内外人脸的识别，如果是库外人脸则实现报警。GUI界面有清除数据功能，统计工资等功能。(This project is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the comparison of direct head and head, which is of little practical significance. This part is not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this subject is: find the face from a living picture, segment the face image, reduce the dimension by PCA algorithm, compare with the library picture, output the target face and record the recognition time, and then count the number of times in the month when the face is punched, so as to count the attendance rate. The subject can also be further developed to make face recognition inside and outside the database. If it is outside the database, the alarm can be realized. The GUI interface has the functions of data clearing and salary statistics.)

说明：  遥感图像分割,包括七幅图像matlab实现(image segntme)

高光谱图像MNF算法，实现高光谱图像的去噪，注释详尽(Hyperspectral image MNF algorithm to achieve denoising hyperspectral images, detailed comments)

用matalab编译的winner滤波法对图像进行去噪处理，利用了FFT的方法(Compiled using matalab winner filtering method to deal with the noise of image, using the FFT method )

·外部图片自动保存在本地 ·自动控制上传图片和本地化图片尺寸 ·自动给上传及本地化图片添加水印 ·自动提取首张图片为缩略图 ·自动生成任意大小缩略图 ·幻灯片模式图片展示页 ·模板分离设计,轻松设计模板 ·方便自由的模板方法,可以实现复杂多样的调用效果 (External image automatically saved in local Automatically upload pictures and localization image size Automatically upload and localize the image to add watermark Automatic extraction of the first picture thumbnail Automatically generate thumbnails of any size. - picture slide show mode. - separation of design templates, easy design templates Convenient free template method, can realize the complex effect of call)