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该程序为傅立叶变换，用来将时域信号进行频域信号分析，保护功率谱、能量谱等。(The program for the Fourier transform, time-domain signal to the frequency domain signal analysis, to protect the power spectrum, the energy spectrum.)

一个很好用的bmp图像转protelPCB封装库，如果有需要在pcb中插入图像，汉字的朋友可以下载(bmp to protel99，it s a good tool，welcom to download)

基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

图象的处理,Image processing Image processing(Image processing, Image processing Image processing)

对于MATLAB双目视觉处理中，通过前期获取摄像机参数等后制成深度图。(For MATLAB binocular vision processing, we can get the depth map after obtaining camera parameters in the early stage.)

基于区域增长对图像进行分割，得到感兴趣区域(Sengment image based on the regiongrowing.)

VC和MATLAB混合编程实现快速傅立叶变换(VC and MATLAB programming Fast Fourier Transform Mixed)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

Jsteg隐写算法[23][24]由D. Upham提出，该算法将秘密信息嵌入在量化后的DCT系数的LSB上，但值为-1、0、+1的DCT系数例外。提取秘密信息时，也只是将隐藏信息的图像中不等于-1、0、+1的量化DCT系数的LSB取出即可(steganography of jsteg)

该源码可以实现对彩色或灰度图像的曲波（Curvelet）特征的提取，以便后续做纹理图像分割。(The source can be achieved in color or grayscale images Qu Bo (Curvelet) feature extraction in order to do follow-up texture image segmentation.)