L0Smoothing

说明：  图像的尺度不变特征特征点提取，快速提取图像的特征点(SIFT feature extraction of image)

一个简单的雷达动目标检测程序，仅供学习之用。(A simple radar moving target detection procedures, for learning purposes only.)

说明：  首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.)

数字图像隐藏及提取研究分析论文、文献等。主要研究算法为LSB算法和DCT奇偶量化、DCT均值量化。(Digital Image Information Hiding and Extraction of analytical papers, literature. The main algorithm for the LSB algorithm and DCT parity quantization, DCT mean quantization.)

说明：  可通过Hog和svm实现小狮子的分类，将其分为两类(The classification of small lions can be realized by hogs and SVM, which can be divided into two categories)

附带GUI界面，可用于各种图像的特征点提取，并对两幅图像进行配准拼接，使用的是sift算法( U9644 u5E26G0 u754C u972 u53EF u7528 u4E8E u5404 u79V U8FDB u884C u914D u51C6 u62FC u63A5 uFF0C u4F7F u7528 u7684 u662Fsift u7B97 u6CD5)

线性非局部均值滤波器用于图像处理中的去除噪声平滑图像，能够较好的保持图像的边缘(Linear non-local mean filter for image processing to remove noise smoothing of images, to better maintain the image edge)

图像处理 二值化 旋转 90 180 等，支持多种 图片(图像处理 二值化 旋转)

用于图象处理的小波变换并行算法,本文在二进小波变换及Mallat快速算法原理的基础上，分析了小波变换的 可并行成分，研究了小波变换的并行算法.算法分析表明，并行小波变换可以有效 地提高运行速度，其并行处理效率也接近理想状态.(image processing for the wavelet transform parallel algorithm, In this paper, two Progressive Mallat wavelet transform and fast algorithm on the basis of principle, Analysis of the wavelet transform the parallel components of wavelet transform the parallel algorithm. algorithm analysis showed that Parallel wavelet transform effectively increase the operating speed and its parallel processing efficiency is close to the ideal state.)

迭代最佳阈值分割算法，寻找最佳阀值检测边缘(best iteration threshold segmentation algorithm to find the best edge detection threshold)