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ResearchonFaceImageRetrievalBasedonPrincipalIndepe
- 提出一种基于独立分量分析的内容特征,并用于人脸图像检索,得到一种基于内容的图像检索新方案. 该方案首先在降维空间提取出基于高阶统计特性的主独立内容特征(PICF) ,应用提取的PICF 特征进行有效的人脸图像描述. 为确保计算有效性和检索正确率,运用可消除独立特征顺序不确定性的基于PICF 的检索方法,并在具备不同亮度、尺度、姿势和图像描述变化的RL 脸谱数据库中完成了人脸图像检索实. 计算机仿真结果验证了所提出方法的有效. 最佳检索率为100 ％ ,平均查准率达95. 14 ％P千次.
segskin_ellipse
- 基于Hsu R L肤色模型的肤色提取方法。-Hsu RL model based on skin color extraction.
RL(Richardson-Lucy)
- 采用基于RL(Richardson-Lucy)算法的超分辨图像复原。能够实现图像的频谱外推，得到期望的复原图像。-The RL (Richardson-Lucy) algorithm-based super-resolution image restoration. Extrapolation of image spectrum, to obtain the desired restored image.
fbpzip
- 完成CT图像重建过程的滤波反投影算法，应用RL和SL滤波器进行滤波-The completion of the CT image reconstruction process filtered back projection algorithm, application of RL and SL filter filtering
CT
- 基于matlab的CT扇束投影图像重建。最终画出初始位置处各探测器的投影、RL滤波函数、中间探测器处投影随角度的变化、反投影重建图像。main.m为主函数。-Matlab-based CT fan-beam projection image reconstruction. The initial position of the end of the detector shown in projection, RL filter function, with the middle point of
image-restoration
- 对比五种模糊图像复原算法，包括：维纳滤波算法、约束最小二乘滤波算法、Richardson-Lucy（RL）算法、循环边界算法和最优窗算法。-introduces the five kinds of image restoration algorithms, including wiener filtration, constrained least squares filtering, Richardson-Lucy, cyclic boundary algorithm and optimal
raydriven
- 工业CT平行束到扇形束算法转换以及R-L滤波的MATLAB实现-Industrial fan beam to parallel-beam CT algorithm conversion, and RL filter MATLAB