批量改图片格式

可用于matlab 人脸检测，准确率较高。(It can be used in matlab face detection, with higher accuracy.)

IPN 相关性一致性计算：一致相关性系数，皮尔逊系数等 ( IPN_ccc - Computes the concordance correlation coefficient for evaluating reproducibility. IPN_icc - Computes the interclass correlations for indexing the reliability analysis IPN_kendallW- Computes the Kendall s W. IPN_pearsonR- Computes the Pearson s R.)

加权中值滤波,用于图像增强,只用于超声图像,对超声图像去噪有很好的效果(Weighted median filter is used for image enhancement, only for ultrasonic image, has the very good effect on the ultrasonic image denoising)

说明：  这是用matlab编写的关于人脸识别的基于pca的完整程序，非常实用(This is prepared using matlab on pca-based face recognition of the integrity of the process, very useful)

利用盲卷积图像复原方法，对模糊图像进行图像复原，可以达到比较好的效果。(Blind deconvolution image restoration)

已知一个点到一条直线的距离，主要用在地图匹配中基于权重地图匹配算法中(Given a point to a straight line distance, mainly used in the map-matching weight based map-matching algorithm)

说明：  对三角划分算法的研究，对以前方法的改进，以达到良好的效果，(Triangulation algorithm to study the improvement of previous methods in order to achieve good results,)

各种数字水印的嵌入和提取 检测和攻击 包括lsb 和dct等算法(A variety of digital watermark embedding and extraction, including detection and attack, such as algorithm lsb and dct)

a.牌照定位，定位图片中的牌照位置； b.牌照字符分割，把牌照中的字符分割出来； c.牌照字符识别，把分割好的字符进行识别，最终组成牌照号码。 (a. License Plate Location, location location of the picture of the license b. Character Segmentation license to license the characters split up c. license character recognition, to split a good character to identify the final composition of license number. )

基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)