attackofwatermarking

outlook风格的界面例子(Outlook style interface example)

能够检测椭圆，并且在已知摄像机安装高度和倾角的情况下实现单目测距，代码能够运行(Ellipse can be detected, and the camera installation height and in the case of the known inclination to achieve monocular ranging code to run)

数学形态学去噪 有效地还原了原始信号 去除了振动噪声和基线漂移(signal denoising )

说明：  一个简单的例子，演示如果通过VC使用进度条空间(A simple example demonstrates how to use progress bar space through VC)

改进的有效边表算法，来自计算机图形学的简单代码(Improved active edge table algorithm, a simple code from the computer graphics)

OFDM调制的的AWGN加瑞丽衰落信道,其它的我就不多说了(OFDM modulation of AWGN and ruili fading channel, the other I will not say)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

一个简单的例子，演示如果通过VC使用进度条空间(A simple example demonstrates how to use progress bar space through VC)

这是一个阈值分割的小例子，利用阈值分割把原始图片转化为二值图像和灰度图像。(This is a small example of a threshold segmentation using thresholding the original image is converted to binary and grayscale images.)

数字图象处理算法的演示，包括：图象的DFT和逆DFT，图象的FFT和逆FFT，在图象中加入正弦噪声，图象的模板运算实现图象平滑和锐化等等。(digital image processing algorithms demo, including : Image DFT and inverse DFT, FFT image and inverse FFT, in the image by adding sinusoidal noise, the template image Operational Image sharpening and smoothing and so on.)