weicaise

在分析聚束合成孔径雷j盘(SAR)方位向时频关系的基础上，提出了一种新的全孔径分辨率SAR成像算法。 根据SAR在条带与聚束模式下回波信号之间的差别，利用现有成熟的条带SAR成像算法实现先对聚束SAR各方位向子 孔径成像，而后再将各方位子孔径带宽合成为全孔径带宽，以形成具有全孔径分辨率的SAR图像，极大降低了系统PRF 的要求。(In the analysis of spotlight synthetic aperture radar dish j (SAR) azimuth based on the time-frequency relationship, a new full-aperture resolution SAR imaging algorithm. According to SAR in strip and spotlight mode, the difference between the echo signal, the use of existing mature band SAR imaging algorithm first bit of the spotlight SAR the parties to the sub-aperture imaging, and then place then all the bandwidth synthetic aperture the bandwidth for the full aperture to form a full aperture resolution SAR images, greatly reducing the system PRF requirements.)

mser算法（Maximally Stable Extremal Regions）代码，非文章作者写的，但是还不错，matlab实现。(mser algorithm (Maximally Stable Extremal Regions) code, non-article the authors write, but also good, matlab realize.)

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

c#取取图像，并处理和显示结果。HALCON,.(c# Take proper image, and the processing and display of results. HALCON ,.)

我自己写的运动图像模糊及恢复，可以使标准图像模糊后再恢复，希望大家多执教，程序绝对可以运行(I wrote it myself sporting image blurring and recovery that allows standard image blurred and then recovery, hope that more coaching, the program can run absolutely)

lsb空域水印算法，dct水印算法，dwt水印算法，处理灰度水印以及彩色图像水印，同时还有字符水印嵌入音频中。分别有着三个GUI界面实现不同功能。欢迎批评指正！(lsb airspace watermarking algorithm, dct watermarking algorithm, dwt watermarking algorithm, the watermark process grayscale and color images watermarking, as well as the characters in the watermark embedded audio. Respectively GUI interface has three different functions. Welcome criticism correction!)

KRUSAL算法实现最小生成数的 最小生成数的 最小生成数的(The KRUSAL algorithm realizes the minimum generating number of the minimum generating numbe)

说明：  这是国外某人写的开放gentel boost的源码，可用于基本的物体检测(This is a foreign person to write gentel boost open source code can be used to detect the basic objects)

基于Powell和互信息的多分辨率图像配准(Image registration Powell and mutual information)

用AAM算法进行人脸特征点的标定，即对人脸的眼睛，眉毛，嘴巴，鼻子及脸的轮廓进行标记，此代码标记了68个特征点。(AAM algorithm for facial feature points calibration, calibration of this code is the 68 feature points, see the instance document.)