fenxing

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)

车牌识别 里面包含了程序源代码还有图像，对彩色图片识别大有用处 (chepai shibie)

说明：  对图像进行显著性增强，并且将显著新部分分割处理(The image is significantly enhanced and the significant new part is segmented)

数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理(Digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: analog image by Gaussian white noise and Salt and Pepper Noise impact P0306: A two-dimensional median filtering function medfilt2 of interference by salt and pepper noise image filtering P0307: using MATLAB in filter2 function affected by noise interference images mean filter P0308: Image Adaptive Weiner filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask treatment)

HOG行人检测，测试过，能用 HOG行人检测，测试过，能用(HOG，it‘s useful HOG，it‘s useful)

SUN：利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。(SUN: A Bayesian Framework for Saliency Using Natural Statistics)

说明：  一种自适应的图像去噪方法，MATLAB实现(An adaptive image denoising method, matlab implementation)

说明：  matlab图像配准算法，确定归一化互相关最大值及其位置，利用相关找到的偏移量，判断两幅图是否相同。(MATLAB image registration algorithm determines the maximum normalized cross-correlation and its location, and uses the offset found by correlation to determine whether the two images are the same.)

图像金字塔分解，输入一幅图像，以及需要分解的层数，可以输出图像的金字塔分解(Image pyramid decomposition)

人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的(artificial selection cluster center, k-means clustering method for image segmentation, the good results)