91065739rythreshold

说明：  bp人工神经网络模式识别教程示例，研究人脸识别 手势识别有帮助(bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher !)

这个是广义高斯分布随机数产生程序，它可以用做广义高斯分布形状参数的估计，以及用在图像处理，独立成分分析，信号处理，数字水印等方面。(This is the random numbers about the generalized Gaussian distribution.It can be used in image processing, ICA, signal processing,digital watermark and so on.)

1．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( 1. Using Matlab generated sine wave, square wave, and the white noise signal, and displays the respective time-domain waveform 2. The FFT transform, showing each spectrum, where the sampling rate, frequency, data length choice 3. Rms signal to make the three maps, power spectra, as well as the number of rms spectra 4. With the inverse Fourier transform IFFT restore the signal and displays the recovered time-domain waveform sinusoidal signal)

一种基于小波分析的彩色图像融合方法，需要同一场景的红外与夜视各一张，同时选取任意场景合适的彩色照片作为参考图像(A color image fusion method based on wavelet analysis, infrared and night vision needs each one of the same scene, the scene at the same time any suitable color photo as a reference image)

MSTAR数据库中的部分SAR图像，大小限制只传12张，分辨率较大约为1476*1784，适合SAR图像的压缩恢复处理(MSTAR part of SAR image size limit only pass 12, higher resolution of about 1476* 1784, for compressed SAR image restoration processing)

说明：  使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)

说明：  图像分块的处理和matlab水印的提取，(Image sub-block processing and matlab watermark extraction,)

FK滤波分析，设计窗口！！！！！！！！！！！(FK filtering analysis, design window! ! ! ! ! ! ! ! ! ! !)

求取一幅二值图像包含目标区域的最小矩形框，返回矩形框的上下左右边界，然后根据边界坐标在图上画出目标区域。(Strike the rectangle that contains the smallest rectangular target area in a binary image, return to the top and bottom rectangular box around the border, and then draw the boundary on the map coordinates of the target area.)