matlab

CVPR2013中出现的一种显著性特征检测算法，该算法用于模拟人眼视觉识别过程，提取图像中的显著性特征借后期目标对象的检测跟踪等使用，该算法(Context-Aware Saliency Detection。matlab implementation of an classical saliency detection alrogithm,which imitate our recognition process of eyes)

说明：  包含Matlab程序以及回波数据，下载后立马使用(Extended Chirp Scaling Imaging Algorithm Codes and Raw data)

迂回位相全息图matlab程序，经测试能正常运行，并且全息图效果良好(Detour phase hologram matlab procedures, have been tested to normal operation, and good hologram effect)

GMSD 基于图像特征的质量评价，matlab编写语言(GMSD image assessment)

二值化处理图像，自动拟合椭圆并得到长短轴的大小。(Automatically fit the ellipse and get the size of the long and short axes)

图像融合客观评价程序，包括扭曲度，相关系数，方差等(Objective evaluation of image fusion procedures, including distortions, the correlation coefficient, variance, etc.)

数学形态滤波。包括打开，滤波，处理，去噪等一系列功能。代码实验无误(Mathematical morphology filtering. A series of functions, including open, filtering, processing, denoising. Code experiment is correct)

说明：  数学地角度来看，信号与图像处理可以统一看作是信号处理（图像可以看作是二维信号），在小波分析地许多分析的许多应用中，都可以归结为信号处理问题。对于其性质随时间是稳定不变的信号，处理的理想工具仍然是傅立叶分析。但是在实际应用中的绝大多数信号是非稳定的，而特别适用于非稳定信号的工具就是小波分析。(Mathematically, signal and image processing can be regarded as signal processing (image can be regarded as two-dimensional signal). In many applications of wavelet analysis, they can be reduced to signal processing. For signals whose properties are stable over time, the ideal tool for processing is still Fourier analysis. However, most of the signals in practical applications are unstable, and the tool especially suitable for unstable signals is wavelet analysis.)

说明：  直方图均衡化,直方图均衡化vc++源代码(histogramequalization)

实现了对10个数字音的识别，是学习PCA特征提取的很好的学习资料，包括调制，解调，信噪比计算。( To achieve the recognition of 10 digital sound, Is a good learning materials to learn PCA feature extraction, Includes the modulation, demodulation, signal to noise ratio calculation.)