hm2_2

两船协同导航，利用EKF滤波，主要用于主从式的协同导航，滤波参数要根据实际需要合理调节(Collaborative navigation of both vessels, the use of the EKF filter, mainly used for the master-slave collaboration navigation filter parameters according to the actual needs of a reasonable adjustment)

图像检索，从600多张图片中检索出与目标图片相似度最高的。按照相似度顺序排列。(Image retri , retrieved more than 600 pictures in most similar to the target image. They are arranged in order of similarity.)

本案例采用基于块匹配的图像拼接流程来执行拼接操作，载入图片文件夹来作为待拼接对象，通过进行图片序列的匹配、融合来得到拼接效果，并分别对灰度图像、彩色图像进行处理。(This case is based on block matching process to perform image stitching splicing operation, load images folder as an object to be spliced, by matching the fusion image sequence to get the mosaic effect, respectively, on the gray image, color image processing .)

机器视觉手册，讲解详细，非常实用，从基础图像处理算法到复杂视觉算法(handbook of machine vision， very practical， including basic image processing and vision algorithm)

用matlab进行图像检索，基于边缘直方图（EHD）描述子，它是MPEG-7标准中提出的一种边缘描述子，它具有描述图像亮度变化的方向和频率的能力。资料为主程序代码。(Matlab for image retrieval, based on the description of the edge histogram (EHD) sub, it is proposed in the MPEG-7 standard descriptor an edge, it has the direction of the change and the frequency of the described image brightness capability. Data the main program code.)

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.)

视频格式转换 这里主要是mpeg格式 转化为avi，yuv等多种格式(Video format conversion here is mainly converted to avi mpeg format)

java 图形算法实现源代码，有坐标放大缩小。(java graphics algorithm source code, coordinates Zooming.)

说明：  利用特征提取和分类的方法,假设输入值为{大,圆,光滑}为水果的三个特征值,来代表三种不同的水果,识别苹果\梨\香蕉\桔子\菠萝水果类别. (The use of feature extraction and classification methods, assuming that the import value was (large, round, smooth fruit) for the three characteristics of value, to represent three different types of fruit, to identify Apple \ pear \ banana \ orange \ pineapple fruit category.)

说明：  计算图像峰值信号比，比较边缘检测图像的质量(Calculate the image peak signal ratio and compare the quality of edge detection)