Susan

水平集方法的实例演示,对于初学水平集的朋友有很多帮助。(Examples demonstrate the level set method, the level set for the beginner friends have a lot of help.)

用c语言写的db4多尺度小波去噪代码，效仿matlab的方式，将分解后的系数存放在原数组里(Db4 multi-scale wavelet denoising code, c language written emulate matlab manner, the decomposition coefficients stored in the original array)

基于bp神经网络的车牌字符识别源程序，采用字符比对的方式进行切割(The structures of the neural networks were designed using a constructive algorithm where the basic idea was to start with a small network,then add hidden units and weights incrementally until a satisfactory solution be found .The higher efficiencies were for a 30×17×10 number network and letter network)

说明：  使用mean shift方式增强图像对比度的一个小演示（开发平台：matlab7.0）(Using mean shift mode contrast-enhanced images of a small demo (Development Platform: matlab7.0))

图象经过gabor小波滤波。gabor小波与图像卷积。(Image after wavelet filtering gabor. gabor wavelet and image deconvolution.)

TV模型用于图像修复，能够实现较好的图像修复效果，是基于偏微分方程的方法(TV model for image restoration, and to achieve better image restoration effect is a method based on partial differential equations)

这是基于张亶，陈刚《偏微分方程的图像处理》书的实验及程序(image processing )

面向CameraLink接口的Kintex7与TMS320C6678视觉图像处理系统硬件设计说明(Hardware design of Kintex 7 and TMS320C3378 with CameraLink interface)

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)

统计图像中某区域在整个图像中所占的百分比.(comput the percentage of the gived area in the whole image)