第五组

改进的OPTA，通过设置保留模板，图形细化算法，matlab(Improved OPTA, retained by setting the template graphics thinning algorithm, matlab)

基于随机Hough变换的圆检测方法，可检测不同位置、半径的圆。(Based on random Hough transform circle detection method can detect a different location, the radius of the circle.)

数字图像处理中的滤波和傅里叶压缩，包括理想低通滤波器，巴特沃茨高通滤波器，高斯带通滤波器，高斯带阻滤波器，FFT图像压缩。附原图像和处理后的图像截图。(Digital image processing in filtering and Fourier compression, including the design of an ideal low-pass filter, design Batewoci high-pass filter, bandpass filter design Gaussian, Gaussian band stop filter, FFT image compression. Attached to the original image and processed image capture.)

方向加速法（Powell）是一种直接法，不用计算目标函数的梯度，仅通过比较目标函数的数值大小来移动迭代点就可以求出极值。(Powell use for registration)

对图形进行二维傅里叶变化后的频谱进行中心化(Centralization of the spectrum after two-dimensional Fourier transform)

有关改良Canny算法的一些还算可以的文献(Improved Canny algorithm on some literature.)

说明：  二进小波变换的图像增强,matlab代码(Dyadic wavelet transform image enhancement, matlab code)

实现图像中细胞的提取，并计算出细胞与核仁面积之比的可视化程序(Extraction of cells in the image, and calculate the cells with nucleolar area ratio of the visualization program)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SL0算法，对256*256的lena图处理，比较原图和SL0算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SL0 algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SL0 algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

基于Powell和互信息的多分辨率图像配准(Image registration Powell and mutual information)