Image-point

这个代码可以获取一种颜色可以生成10进制的数，和一个16进制的数(the code can get a color can generate 10 to the 229 number, and a few of the 229 16)

分别采用RGB模型和HIS模型对图像imageLane.bmp进行锐化，并比较锐化的效果是否相同（两锐化后的图像相减）。(RGB model and HIS respectively model imageLane.bmp sharpening the image and to compare the effect of sharpening is the same ( sharpen the image after the subtraction).)

毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件(Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files)

在matlab环境中对图像提取Haar特征(Environment in matlab to extract Haar features for image)

opencv,图像处理，关于物体粘连问题的检测，基于凹性分析的分割方法(opencv, image processing, object sticking problem on detection, segmentation method based on analysis of the recess)

ViBE背景建模算法，从 PC上移植改编，可在嵌入式上运行，效率较高(ViBE background modeling algorithm, coded PC to imbeded. )

zernike不变矩。特征提取方法。基于形状的特征提取方法。(zernike moment invariants. Feature extraction methods. Shape-based feature extraction method.)

这是一个可以应用在大失准角下的强跟踪UKF(This is a can be applied to large misalignment angle of Strong Tracking UKF)

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)

以MSTAR为实验数据，对SAR影像进行杂波统计分析研究。利用高斯、瑞利、对数正态、LN、gamma函数模型对其拟合，通过K-S方法检验拟合精度(The MSTAR the experimental data, statistical analysis of SAR images of clutter. Gaussian, Rayleigh, lognormal, LN, gamma function model to its fitting, fitting by means of checking the accuracy of KS)