fingerprint-classification5

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)

说明：  去卷积 图像复原 去卷积操作 matlab(deconvolution Image restoration)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

MATLAB编写的图像处理程序，主要用于对于目标的检测和跟踪。效果比较好，适合新手。(Image processing program written in MATLAB, mainly used for target detection and tracking. The results were better suited to the novice.)

将处理过的二进制比特流写入图像，保存显示 (The treated binary bit stream to write the image )

基于颜色特征向量的粒子滤波跟踪程序，修复了因粒子超过窗口范围出现ERROR的BUG，还包括了一些有助于粒子滤波学习的资料！！(color-based particle filter tracking, some bugs have been fixed, some information about PF Tracking is included too!!)

一篇很好的互信息算法的综述，对不同模态图像运用PV插值技术实现配准的优劣性做了全面的分析。(failed to translate)

数字图像处理matlab版 冈萨雷斯 一书中的附加源程序，生成的M文件，直接可用 (Digital image processing matlab version Gonzalez one additional source book, M-generated documents, directly available)

说明：  图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)

有详实的说明，基于C-V模型的图像分割，属于活动轮廓模型，有典型的图片例子，可以直接运行，适合研究生使用。(There are detailed instructions, CV model-based image segmentation, are active contour models, with typical picture examples can be run directly, for graduate students to use.)