-
菲涅尔迭代计算
MATLAB 程序菲涅尔迭代计算啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊(Fresnel Iterator of MATLAB Program)
- 2019-02-15 18:19:10下载
- 积分:1
-
zhu3ci3compare
在认知网络下的干扰对齐算法的MATLAB代码(In the cognitive network interference alignment algorithm MATLAB code)
- 2014-10-14 19:52:48下载
- 积分:1
-
chengxiang
核磁共振的原理介绍,以及其相关领域的发展,介绍了脑功能成像的原理的处理技术(Introduce the principle of nuclear magnetic resonance, and its related fields of development, introduced the principle of functional brain imaging processing technology)
- 2010-11-10 10:38:08下载
- 积分:1
-
Newfolderfive
it has different sources
- 2010-12-06 06:38:33下载
- 积分:1
-
SingleNeuralNetPID
智能控制算法,小脑模型,神经网络,函数逼近(Intelligent control algorithm, cerebellar models, neural networks, function approximation)
- 2011-04-29 15:57:08下载
- 积分:1
-
spgl1-1.9
说明: OMP algorithm to implement compressive sensing algorithms
- 2019-02-09 11:10:10下载
- 积分:1
-
homework6
产生有色噪声污染的谐波,并设计带通巴特沃斯滤波器和切比雪夫I型滤波器(Colored noise pollution generated harmonics, and to design band-pass Butterworth filter and Chebyshev-I filter)
- 2010-07-22 16:20:48下载
- 积分:1
-
singleV
晶闸管单相整流电路matlab仿真,可以改变触发角。(Thyristor single phase rectifier matlab simulation, you can change the firing angle.)
- 2012-10-26 09:10:16下载
- 积分:1
-
d59c1ff41ed7
Automatic Diabetic retinopathy detection using SVM
- 2015-05-05 17:11:17下载
- 积分:1
-
ASM_version1b
ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想:
在ASM模型训练,训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析(PCA),使该模型自动识别数据的主要变化是,如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时,在正确的位置。
(Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)
- 2010-03-04 17:01:22下载
- 积分:1