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支撑材料

于 2017-09-17 发布文件大小:9KB

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radon变换Redistribution and use in source and binary forms, with or without modification, are permitted provided that the followin(OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.)

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数字图像处理Matlab版自编函数
说明：冈萨雷斯matlab图像处理中的代码，现成的函数不同自编(Code in image processing of Gonzalez matlab)

2020-03-07 18:20:09下载

积分：1
bitmap
说明：实现了打开一副位图，显示起像素分布的直方图(Figure shows the histogram of open spaces)

2011-03-26 08:28:33下载

积分：1
SarCalibration
sar 图像定标程序，由灰度值计算后向散射系数(sar image calibration)

2010-05-22 10:52:00下载

积分：1
MoveCatch
对移动目标检测，需要先用鼠标框定感兴趣的目标，然后才能追踪。(Moving target detection, target mouse framed interested need to use before tracking.)

2016-08-15 17:59:52下载

积分：1
svm
相当经典的一款SVM 可视化相当好，当今流行的2大SVM()

2008-05-10 20:45:14下载

积分：1
FmcwRadarSignalProcess-master
说明： FMCW信号处理是通过python脚本实现的，可以总结为： FMCW IF信号预处理范围-时间地图构造（RTM）多普勒时间地图构造（DTM）角度时间地图构造（ATM）(FMCW signal process was implemented by python script, which can be sum up as: FMCW IF signal pre-process Range-Time-Map construction (RTM) Doppler-Time-Map construction (DTM) Angle-Time-Map construction (ATM))

2021-01-07 11:18:53下载

积分：1
mvrvm_example
在matlab的环境中，使用了当前用于跟踪预测的相关向量机方法对被测对象的失效过程进程进行跟踪评估。(tracking)

2010-07-03 15:21:42下载

积分：1
裂缝检测
利用matlab 对高速公路的裂缝进行检测，用到了数字图像处理的基本算法(The use of matlab on the highway crack detection, using the basic digital image processing algorithms)

2020-12-16 14:19:12下载

积分：1
bayesthresholding
说明：这个代码是基于贝叶斯的阈值分割,很有用的(This code is based on the Bayesian threshold segmentation, very useful)

2008-12-02 20:14:17下载

积分：1
LinearClassifier_1.0
说明：基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)

2021-01-17 10:38:45下载

积分：1

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