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Description: The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model
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Size: 33070 |
Author: xzl |
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Description: Camera calibration toolbox for Matlab.
The camera calibration toolbox for Matlab utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model.
Platform: |
Size: 32734 |
Author: 晨曦 |
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Description: The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model.
Platform: |
Size: 73786 |
Author: linda_jia1@yahoo.cn |
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Description: The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model
Platform: |
Size: 32768 |
Author: xzl |
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Description: 在目标被动式跟踪中广泛应用的伪量测变换估计器(PLE)具有良好的误差收敛性。然而由于等价噪声和状态的相关性,该估计器的估计是有偏的。提出的强跟踪滤波器(STF)通过强制白化残差具有自适应地校正估计偏差和迅速跟踪状态变化的能力。STF已经在非线性系统时滞估计、故障诊断与容错控制方面取得了很好的效果。-Passive target tracking is widely used in the pseudo-measurement transform estimator (PLE) has a good error convergence. However, due to the equivalent noise and the relevance of state, the estimator is a biased estimate of. Raised strong tracking filter (STF) has adopted mandatory bleaching residuals adaptively estimated bias correction and rapid tracking of the status change. STF has been estimated in the time-delay nonlinear systems, fault diagnosis and fault-tolerant control has been achieved very good results.
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Size: 7168 |
Author: 冯絮影 |
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Description: Camera calibration toolbox for Matlab.
The camera calibration toolbox for Matlab utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model.-Camera calibration toolbox for Matlab.The camera calibration toolbox for Matlab utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model.
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Size: 32768 |
Author: 晨曦 |
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Description: 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.
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Size: 52224 |
Author: erdongchen1985 |
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Description: 这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.
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Size: 45056 |
Author: erdongchen1985 |
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Description: A Study of Bias Correction Methods for
Enhancing Median Edge Detector Prediction-A Study of Bias Correction Methods for
Enhancing Median Edge Detector Prediction
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Size: 1024 |
Author: niwas |
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Description: 医学图像分割和偏移场矫正方法的matlab代码-the matlab code for medical image segmentation and bias correction
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Size: 44032 |
Author: 王刚 |
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Description: variation level set framework forsegmentation and bias correction of images with intensity inhomogeneities. Based on a generally accepted model ofimages with intensity inhomogeneities and a derived localintensity clustering property, we define an energy of the levelset functions that represent a partition of the image domainand a bias field that accounts for the intensity inhomogeneity.Segmentation and bias field estimation are therefore jointlyperformed by minimizing the proposed energy functional.
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Size: 48128 |
Author: revz |
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Description: A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction
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Size: 1167360 |
Author: pc |
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Description: 基于偏置场矫正的模糊C均值聚类算法的实现
经调试，可以运行-Bias field correction based on fuzzy C-means clustering algorithm to achieve through debugging, you can run
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Size: 140288 |
Author: 杨延东 |
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Description: 本着分享精神，再分享一下自己移植的 烈火 四轴程序，个人感觉已经飞的可以了。下面说一下一下怎么使用吧，按顺序操作即可：
1，起飞前，把左右微调旋钮打到正中间，中间微调旋钮顺时针扭到扭不动。
2，四轴和遥控均上电后，四轴开关旁的LED会亮起，表示通讯成功。
3，将油门摇杆打到最下，方向摇杆打到最左，此时校准陀螺仪零偏；
将油门摇杆打到最下，方向摇杆打到最右，此时校准加速度计零偏；
校正时请保持手势一段时间。分别校正成功后，四轴周围的LED会闪烁一次。
4，油门摇杆打到左下角保持2秒是解锁，打到右下角保持2秒是上锁。和上一版一样。
5，MODE按键未使用，FUN按键是锁尾。效果还可以。
6，低压检测，四轴电压或遥控电压较低时，蜂鸣器报警。四轴电压较低闪红灯，遥控电压较低闪绿灯。
字体专门设置过了，GB2312，应该不会出现乱码了。 -In the spirit of sharing, to share their transplantation fire four axis procedures, personal feel already fly it. Here s how to use it, in order to operate:
1, before taking off to about fine tuning knob to middle, middle fine tuning knob clockwise twist to twist does not move.
2, four axis and remote control are after power on, the four axis the switch LED will light up, said communication success.
3, will hit the throttle rocker, rocker hit to the left direction, the calibration of gyro bias
The throttle stick to the direction of the rocker, hit to the right, the calibration of accelerometer bias
Please keep the gesture for a period of time correction. The correct after the success of four axis around which the LED will flash once.
4, the throttle stick to the lower left corner to keep 2 seconds is unlocked, playing to the lower right corner to keep 2 seconds is locked. Like the last edition.
5, the MODE key is not used, the FUN button is locked tail. The effect can also.
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Size: 691200 |
Author: 陈程 |
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Description: N4ITK Bias Correction. this code is usefull for MRI bias Field removing.
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Size: 10240 |
Author: homan |
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Description: 好用的随机森林回归（RFR），也可用与分类。基于以编译的mex84，可实现bias-correction。回归预测精度较高-applicable random forrest regression，can also be used for classification。Regress with bias-correction 。can achieve high accuracy
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Size: 77824 |
Author: 夏平 |
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Description: that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of artery wall voxels to edge artifacts, and signal voids
near the artery wall. Validation studies were performed on a
synthetic digital phantom with realistic intensity inhomogeneity,
a physical phantom roughly mimicking the neck, and patient
carotid artery images. We compared LEMS to a modified fuzzy
c-means segmentation based method (mAFCM), and a linear
filtering method (LINF). Following LEMS correction, skeletal
muscles in patient images were relatively isointense across the field
of view. In the physical phantom, LEMS reduced the variation
in the image to 1.9 and across the vessel wall region to 2.5 ,
a value which should be sufficient to distinguish-that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of artery wall voxels to edge artifacts, and signal voids
near the artery wall. Validation studies were performed on a
synthetic digital phantom with realistic intensity inhomogeneity,
a physical phantom roughly mimicking the neck, and patient
carotid artery images. We compared LEMS to a modified fuzzy
c-means segmentation based method (mAFCM), and a linear
filtering method (LINF). Following LEMS correction, skeletal
muscles in patient images were relatively isointense across the field
of view. In the physical phantom, LEMS reduced the variation
in the image to 1.9 and across the vessel wall region to 2.5 ,
a value which should be sufficient to distinguish
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Size: 6967296 |
Author: 杨松 |
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Description: bias correction GCM data is done from what
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Size: 2475008 |
Author: hgr
|
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Description: This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and
bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD)
with likelihood ratio. According to the additive model of images with intensity inhomogeneity, we characterize the statistics of
image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances.
Then, we use the Gaussian distribution with bias field as a local region descriptor in level set formulation for segmentation(This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and
bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD)
with likelihood ratio. According to the additive model of images with intensity inhomogeneity, we characterize the statistics of
image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances.
Then, we use the Gaussian distribution with bias field as a local region descriptor in level set formulation for segmentation and
bias field correction of the images with inhomogeneous intensities. Therefore, image segmentation and bias field estimation are
simultaneously achieved by minimizing the level set formulation)
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Size: 2441216 |
Author: song86
|
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Description: 工具类--可以统计代码的行数，大家可以试试，我觉得挺好用的(Tool class - you can count the number of lines of code, you can try, I feel very good use)
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Size: 3745792 |
Author: dengtj
|
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