资源列表
tensorflow-knn-双向LDA
- 基于LDA的人脸降维，精度比二维LDA的要高，有一定的运用价值。(orl tensorflow LDA PCA)
医学图像分割
- 基于GUI的对大脑进行灰白质分割，可以对大脑图像进行二值化(Gray and White Matter Segmentation of Brain Based on GUI)
text_deblurring_code
- Matlab code for "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior"； demo_text_deblurring 是主函数(refer to Deblurring Text Images via L0-Regularized Intensity and Gradient Prior)
Graph-Based-Blind-Image-Deblurring-master
- 文献 Graph-based Blind Image Deblurring from a Single Photograph 的参考代码(refer to: Graph-based Blind Image Deblurring from a Single Photograph)
cvpr16_deblur_study-master
- 文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_t
宋-3-VMD数据
- 对二维数据进行变分模态分解，可用于地震数据去噪等(Variational mode decomposition of two-dimensional data can be used for seismic data denoising, etc.)
quxiannihe
- 曲线拟合的目的是找出一系列的参数a0，a1，....，通过这些参数最好地模拟实验结果。 *线性拟合-把实验数据拟合为一条直线y[i]=a0+a1*X[i] *指数拟合-把数据拟合为指数曲线y[i]=a0*exp(a1*X[i]) *广义多项式拟合-就是多项式拟合，即把数据拟合为多项式函数： y[i]=a0+a1*X[1]+a2*X[i]^2... 可以选择不同的算法，以获得更好的精度和准确性。 *广义线性拟合-公式为y[i]=a0+a1*f1(
cs266_final_src
- 运用正反向动力学来坐上楼梯动画，包括骨骼，蒙皮。(The implementation of an OpenGL based C++ program to animate a humanoid walking up stairs and across an incline. Forward kinematics is used to walk up stairs, by setting the root to the torso when lifting the leg and to the f
静脉识别代码程序
- 这是关于指静脉识别的MATLAB程序代码，主要实现了余成波书籍上的手指静脉识别技术。(This is about the finger vein recognition of the MATLAB program code, mainly to achieve the remaining waves of books on finger vein recognition technology.)
基于方向谷形检测的静脉纹路分割
- 这是一个关于基于方向谷形检测的静脉纹路分割的MATLAB程序代码，(Vein vein segmentation based on directional valley detection)
峰值旁瓣比和积分旁瓣比
- 评估指标为点目标距离向和方位向峰值坐标、峰值旁瓣比、一维积分旁瓣比、剖面图(The evaluation indexes are peak coordinates, peak sidelobe ratio, one-dimensional integral sidelobe ratio and profile of point targets in range and azimuth directions.)
PSIR_ISIR_IRW
- 计算点目标成像的峰值旁瓣比，积分旁瓣比，分辨率(Calculate peak sidelobe ratio, integral sidelobe ratio and resolution of point target imaging)