xiaobobao2

/** * jpg图像文件缩放类 * * 本类实现一个对 JPG/JPEG 图像文件进行缩放处理的方法 即给定一个 JPG 文件，可以生成一个该 JPG 文件的缩影图像文件 (JPG 格式 ) *，(/ * * * JPG * * the zoom image file class to implement a class of JPG/JPEG image file to zoom method is given a JPG file, you can generate a miniature image file of the JPG file (JPG format) *,)

基于LSB的隐写算法，以及基于猫脸变换的图像隐写改进算法。(The steganography algorithm based on LSB and the image steganography based on cat face transform.)

说明：  文简要介绍了指纹识别的基本步骤，分别是指纹图像预处理、指纹特征提取、指纹匹配(This paper briefly introduces the basic steps of fingerprint recognition, which are fingerprint image preprocessing, fingerprint feature extraction and fingerprint matching)

图像融合的各种Q值评价指标的代码，包括Q0,Qe,Qw,Qabf,vif等，非常适合图像融合的质量评价(Q values ​ ​ of various uation code image fusion, including Q0, Qe, Qw, Qabf, vif, etc., is very suitable for quality uation of image fusion)

主要是关于模糊熵的，里面还和灰色关联度有点联系。搞图像的应该可以看的懂的。(Mainly on fuzzy entropy, which has little contact and the gray. Should be able to read out the image of understand.)

感兴趣区域提取，能用于车牌号及台风等图像，效果不错(Extract the interesting area, it can be used in license plate number and typhoons images and so on, has good results )

基于多尺度形态学提取眼前节组织，已经调试成功，效果明显，可直接使用(Extraction of anterior segment tissue based on multi-scale morphology has been successfully debugged, and can be used directly.)

文章讲述了一种基于多边形的优化排样方法，结合不规则件特征确定了零件排放的最佳位置，给出了排料规则库的设计，通过排料空间的边界组织和边界更新，形成了新的排样空间。 (Article describes a polygon-based layout optimization method combined with irregular parts on characters of the part the best place to discharge given row of the design rule base material, the border by nesting space organization and boundary updates, formed The new layout space.)

分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。(Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate.)

基于多特征描述和DPF区域匹配的图像检索(Based on multi-feature description and matching DPF Regional Image Retrieval)