Hilbert-transform

chan-vese几何活动轮廓提取 讲物体的裂痕非常精准的提取出来 非常经典的并且最新的代码 可供参考 (chan-vese geometric active contour extraction rift speak very precise object extracted from a very classic and the latest code for reference)

针对空间发光点缩成光斑图像中心的高精度提取问题，本文提出一种亚像素提取方法。该方法简历了具有高斯能量分布的空间发光点的透视投影光斑图像灰度分部数学模型，证明了空间发光点能量中心的透视投影不变性。(Light-emitting points of space shrunk to spot high-precision center of the image extraction problem, we propose a subpixel extraction method. This method resumes a space with Gaussian energy distribution points of perspective projection spot light gray segment mathematical model to prove the energy center of the space light-emitting point perspective projection invariance.)

提出了一种广义迭代收缩算法（GISA）非凸稀疏编码，可以解决稀疏编码的一些优化问题.希望能对大家有所帮助！(A generalized iterative contraction algorithm (GISA) is proposed to solve some of the optimization problems of sparse coding. We hope to be helpful to everyone!)

描述小波变换对地震面波的压制，提高信噪比，剔除干扰项(wavelet transform matlab )

说明：  Calculate the Laplacian of an image, can be accelerated by the GPU.

说明：  1.学习使用fft2,ifft2,fftshift,ifftshift函数。用fft2函数对”lena.bmp”做二维傅立叶变换，并显示其频谱，用fftshift函数将频谱坐标原点移动到图像中心。用ifft2函数做傅立叶反变换。（提示：显示频谱时，可以先对频谱取对数，这样可以压缩动态范围很大的频谱，获得更好的显示效果）(1. Learn to use fft2, ifft2, fftshift, ifftshift functions. With the FFT 2 function, the lena.bmp'The two-dimensional Fourier transform is performed and the spectrum is displayed. The origin of the spectrum coordinate is moved to the center of the image by using the FFT shift function. The inverse Fourier transform is done with ifft2 function. (Note: when displaying the spectrum, the logarithm of the spectrum can be taken first, so that the spectrum with a large dynamic range can be compressed to obtain better display effect.))

实现基于混合高斯模型的运动目标检测算法的仿真(Achieved based on Gaussian mixture model simulation of moving target detection algorithm)

图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)

社会力模型，基于社会力的行人流模型，包括行人间作用力，行人与墙体等障碍物的作用力等。(Social force model)