JiheJiaozheng

图像处理的简单程序，适合初学者，自己好好看看(Simple image processing procedures, suitable for beginners, its a good look)

语音增强算法，谱减法、小波变换以及数学形态学等的语音增强算法针对信噪比、语谱图、去噪情况，分析比较(Speech enhancement algorithm, spectral subtraction, wavelet transform and mathematical morphology speech enhancement algorithm for signal-to-noise ratio, the spectrogram denoising situation analysis)

说明：  用奇异值分解（SVD）的方法进行噪声去除( noise removing by SVD analysis)

说明：  水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)

基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. Unwrapped phase image 2. Phase quality map This code can easily be extended for 3D phase unwrapping. Technique adapted from: D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley-Interscience, 1998. Posted by Bruce Spottiswoode on 22 December 2008 2010/07/23 Modified by Carey Smith)

文中主要研究使用普通的摄像头进行人眼视线方向的估计。在综合介绍了各种人眼视线检测方法的基础上提出了一种新的图像处理的方法来检测人眼视线方向(The main study used an ordinary camera line of sight of the human eye is estimated. In the consolidated a variety of the human eye sight detection method based on a new image processing method to detect the line of sight of the human eye)

说明：  实现超级像素的图像分割程序源代码，代码很全面(The realization of super-pixel image segmentation source code, code is very comprehensive)

活动轮廓算法中的一类-几何轮廓算法，又称Levelset水平集算法，关于该算法的Matlab源码（包含一个test实例）(Active contour algorithm for a class- the geometric contours algorithm, also known as Levelset level set algorithm, algorithm on the Matlab source code (including a test instance))

实现shift算法，进行精确的图像识别，可以抵抗各种旋转、平移、缩放等仿射变换的攻击(Realize shift algorithm, an accurate image recognition, you can resist all kinds of rotation, translation, scaling affine transformation attack)

CVPR2011文章Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns(paper of CVPR2011 Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns)