资源列表
105230310levelsetImagesegment
- 基于水平集的医学图像分割算法，可以很好的分割医学图像，尤其对CT图像有较好的效果-Level set based segmentation of medical images, medical image segmentation can be very good, especially on the CT image has a better effect
Basedon Matlab Simulink simulation
- Based on Matlab / Simulink simulation of ballistic missile three-channel-Based on Matlab/Simulink simulation of ballistic missile three-channel
program
- 粒子滤波器的仿真程序，有助于您对粒子滤波器有更好的理解。-Particle filter simulation program to help you better understand the particle filter.
AnalogWidgets
- Qt图形界面的一个工业用仪表仪器的插件，很专业很经典，可以直接集成到QT Deisgner中，使用非常方便！-A Qt GUI plugin industrial instrumentation, very professional and very classic, can be directly integrated into the QT Deisgner in, easy to use!
backfitting
- 核主成分分析方法 可将低维空间数据转至高位空间的内积，再转至源空间-Kpca can be low to high dimension space data within the space of deposition, turn again to the source of space
1
- 基于多级中值滤波的小波去噪方法,效果要比一般的方法好-Multilevel median filter based on wavelet denoising method, the method more effective than the general good
clustering
- 这是一个非常有用的聚类程序,可以将不同的数据,形状聚成一类,能成功运行,和大家分享-This is a very useful clustering procedure can be different data, the shape of clustered into one group can run successfully, and to share
lpg
- 长周期光纤光栅 传输矩阵程序段matlab代码-Long period fiber grating transfer matrix program segment matlab code
License Plate
- 通过灰度化、分段灰度拉伸、中值滤波、边缘检测和二值化等方式对车牌图像进行预处理，然后基于灰阶跳变定位车牌。-By gray, fractional gray stretch, median filtering, edge detection and binarization, etc. on the license plate image is preprocessed, and then jump on gray positioning plate.
monituihuosuanfa
- 模拟退火算法在图像处理中的典型应用，用matlab编程-Simulated annealing algorithm in a typical image processing applications, programming with matlab
mean-shift
- 基于mean-shift运动目标跟踪matlab源代码-Based on mean-shift object tracking matlab source code
videopatternmatching
- 本程序展示了二维归一化互相关用于 模式匹配和目标跟踪。该程序提示用户选择感兴趣的（ROI）的区域和对同类目标进行跟踪的数目。归一化交叉相关图表明，当值已超过设定的阈值时目标就已经确定。-This demo illustrates the use of 2-D normalized cross-correlation for pattern matching and target tracking. The demo prompts the user to select