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利用opencv+VC++实现对图像的边缘处理，从而对图像进行检测(Use opencv+ VC++ to achieve the edge of the image processing to the image detector)

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

特征提取: 提取了图像中各个标记区域的纹理特征及形状特征,标注详细(King Lek qiong 取: Joan 取了 Minghao Shilu rude plugging 各个标记区 的 理 Canton King Lek Lek 及 near Durian King, 标 downtown Circle Jiu)

说明：  这个程序是用最小二乘法进行解包裹的程序，希望有用(least square unwrapping program)

将一幅图像划分成8*8图像块，计算灰度梯度共生矩阵，基于混合熵对每个图像块分类(divide an image into 8*8 image blocks,calculate gray-gradient-matrix, classify image blocks based on the mixed entropy)

说明：  利用已知的平坦道路的视差图，得出uv方向的直方图，并且求出直线(The histogram of the UV direction and the straight line are obtained by using the disparity map of the known flat road.)

visualc++6.0 实现图像中圆的检测(circle detection)

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 (Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform)

MCA，形态成分分析，广义图像处理，图像分解，图像降噪处理。(gmcalab fgmca.m imnb.m sparse_noisy_examples.m)

根据厄米高斯光束的振幅分布物理公式来画厄米高斯光束的强度分布图(plot the intensity distribution of the HermiteGaussian Beams based on the physical formulars of the Hermite-Gaussian Beams )