face-nox.jpg

color detection using matlab by image processing

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

Multidirectional search for optimization1

一个车削仿真的程序，可用生成ＮＣ代码，并带有仿真过程．(a turning simulation procedures, generating NC code available, and with simulation process.)

生成一个规则LDPC码的教研矩阵H，其行数(越大越好)为列数的一半，行重为6，列重为3，任意两行没有围长为4的圈 使用方法：H=HGrandom2(m,n)。m表示行数，n表示列数(rules of a generation of research LDPC matrix H, its (larger the better) half of the series, re-6, series of three, two arbitrary line is not girth of the ring used four methods : H = HGrandom2 (m, n). Said a few m, n Columns)

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱，并分析结 果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try maximum entropy estimation method to estimate the AR model of this signal and its power spectrum, and analyze the results)

该程序使用matlab模拟出心电图信号。(The program uses matlab simulate the ECG signal.)

三电平I型拓扑结构的SVPWM仿真模型，供大家参考学习。(The three level SVPWM simulation model of I topology, for reference study.)

code for the 2d flood code in matlab

空间自回归模型MATLAB编好的程序，自己的数据，替换下就行(Spatial autoregression model MATLAB programmed procedures, its own data, replace on the line)