手写体提取

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图( 1. Using Matlab generated sine wave, square wave, and the white noise signal, and displays the respective time-domain waveform 2. The FFT transform, showing each spectrum, where the sampling rate, frequency, data length choice 3. Rms signal to make the three maps, power spectra, as well as the number of rms spectra 4. With the inverse Fourier transform IFFT restore the signal and displays the recovered time-domain waveform sinusoidal signal)

一种像素级指纹方向场估计算法以及对应的像素级奇异点检测算法。(A pixel-level orentation field estimation algorithm and the corresponding singular point detection method.)

该图像处理程序实现将图像二值化，灰度化，二值化图像边界扫描并编号，如果图像为火焰图像可以实现将火焰图像的尖角数计算出来并标记(The image processing program image binarization, grayscale, boundary scan and number of the binary image if the image can be implemented for the flame image Now flame image of the sharp corners number and mark)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

asift算法进行图像配准，具有较好的结果，调试完成，可用(image registration, asift algorithm has a better result, debugging is complete, the available)

本文中我们提出一个新颖的算法分析和 估计深度从单个图像捕捉到一个编码的孔径 相机。这是一个具有挑战性的问题,需要 新的工具和调查,而多视点重建。 (In this paper we present analysis and a novel algorithm to estimate depth from a single image captured by a coded aperture camera. This is a challenging problem which requires new tools and investigations, compared with multi-view reconstruction.)

利用粒子群算法做的关于基于指数熵对数熵TSALLIS熵的多阈值的图像分割，内附无优化算法，可以做时间比较(Using particle swarm optimization to do on the entropy-based index of the number of entropy TSALLIS entropy of multi-threshold image segmentation, containing no optimization, can do more time)

图象处理中经常用到图象抽取和插值，本程序就是常用的双线性插值法的实现(image processing frequently used images collected and interpolation, the procedure is commonly used by the bilinear interpolation to achieve)

说明：  This book is targeted at R programmers who want to learn the graphing capabilities of R. This book will presume that you have working knowledge of R.

说明：  在计算机视觉领域一种非盲去模糊的方法代码(A non-blind deblurring method code in the field of computer vision)