Pedestrian-Detection

有关图像的目标识别："给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# (Related to the image target recognition)

基于模糊理论的图象处理,有图象增强,图象平滑和边缘检测算子.()

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

基于互信息的分层金字塔的图像配准算法，互信息的加入让信息更丰富，精度更高(Image registration algorithm based on hierarchical pyramid of mutual information, mutual information is added to make information more abundant and higher precision)

使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换(Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion)

本人自编的气球SNAKE模型代码，效果还算不错。(I own balloons SNAKE model code, the effect is still good.)

针对图像进行快速傅里叶变换，方便进行频频分析与处理。(Fast Fourier transform for the image, to facilitate frequent analysis and processing.)

一种基于DCT变换的数字水印算法的实现过程,水印为伪随机序列，包括嵌入和提取两个过程。其中textmark.m为攻击实验代码。(DCT-based Digital Watermarking Algorithm Transform realize the process, the watermark for the pseudo-random sequence, including both the process of embedding and extraction. Textmark.m experiment in which the attack code.)

单张图像二值化程序，将单张的彩色图像处理成二值化图像(Single image two value program)

猫群算法在图像分类中的应用。猫群算法是一种比较新的算法，目前研究和使用的并不多。(The cats swarm optimization in image classification. Cat swarm optimization is a relatively new algorithm, not much research and use.)