BCFCM2D

利用ENVI/IDL，计算多幅图像的各个像元的平均值。并忽略空缺值(Use ENVI/IDL, calculate the average of each pixel of multiple images. And ignores the value of vacancies)

最大最小距离算法matlab代码，注释比较详细(Maximum minimum distance algorithm matlab code)

此程序在时域中进行阈值去噪，基于平均阈值的去噪方法(This procedure carried out in the time domain threshold denoising, based on the average, the threshold de-noising method)

复杂场景中的红色交通标志牌检测与识别，结合颜色与圆形的标志牌定位，然后提取特征，最后用模板匹配的方法实现识别，内附图片和程序说明，对初学者有帮助(Red detection and recognition of traffic signs in complex scenes, the combination of colors and circular signs positioning, and feature extraction, the last with template matching methods to achieve recognition, included pictures and a description of the procedures for beginners)

一篇关于光声成像的图像重建算法研究，开发工具为matlab，罗列了很多理论知识(A photoacoustic imaging of image reconstruction algorithms, development tools matlab, listed a lot of theoretical knowledge )

阵列信号处理方面的经典程序，包括MUSIC算法，ESPRIT 算法，Root-MUSIC算法面阵中二维角度估计 Unitary -ESPRIT算法，空间平滑MUSIC算法，传播算子DOA估计算法等等(Classical array signal processing procedures, including the MUSIC algorithm, ESPRIT algorithm, Root-MUSIC algorithm for two-dimensional planar array of point estimates Unitary-ESPRIT algorithm, spatial smoothing MUSIC algorithm, propagator DOA estimation algorithm, etc.)

用小波域隐马尔科夫树模型进行图像降噪的matlab软件，rice大学编制(Software For Image Denoising Using Wavelet-Domain Hidden Markov Tree Models)

采用改进的CV图像分割算法用于提取图像边缘轮廓，代码注释很详细。(CV improved image segmentation algorithm for extracting image edge profile, the code is very detailed notes.)

集中图像平滑函数对一张含有椒盐噪声或者高斯噪声的图像进行平滑处理的程序，(Image processing)

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)