imresize

用matalab编译的winner滤波法对图像进行去噪处理，利用了FFT的方法(Compiled using matalab winner filtering method to deal with the noise of image, using the FFT method )

上课时做的一个小程序，表达式计算程序，采用vc++，可能有点儿小瑕疵，但基本运行是没问题的(Class to do a small procedure, expression of the calculation procedure for the vc++, may be a bit small flaws, but the basic operation is no problem of)

遗传算法在道路图像阈值分割中的应用，算法中对遗传算法的遗传算子进行了一系列的改进，收敛性较好。(Genetic Algorithm in the path of the image threshold segmentation application, the algorithm of genetic algorithm genetic operator carried out a series of improvements, a better convergence.)

adaboostcode，这是matlab环境下的adaboost代码，希望对各位有帮助。(adaboostcode, this is the matlab environment AdaBoost code, you want to be helpful.)

用于虹膜定位……定位外圆之前需要进行边界跟踪，此程序实现此功能(For Iris Location ... Location ... before the need for outer border tracking, this procedure realize this feature)

基于多相结构的信道化接收机，sar图像去噪的几种新的方法，小波包分析提取振动信号中的特征频率。( Channelized receiver based on multi-phase structure, Several new methods sar image denoising, Wavelet packet analysis to extract vibration signal characteristic frequency.)

先用双峰法将细胞图像进行二值化，然后进行分割和癌细胞识别(Bimodal method first cell image binarization, and segmentation and identification of cancer cells)

说明：  图像特征提取的四种算法，花了很大的力气才弄来的！和大家分享！(Four types of image feature extraction algorithm, to spend a great deal of effort to get the! To share with you all!)

基于二维直方图的最大模糊熵阈值图像分割，相比于一维最大模糊熵，分割效果更好。隶属度函数采用S函数(Based on two-dimensional histogram maximum fuzzy entropy threshold image segmentation, compared to one-dimensional maximum fuzzy entropy segmentation better)

在本文中，我们提出了一个 所谓自适应模糊-K-均值聚类新方法 （AFKM）聚类的图像分割这可能是 适用于一般的图像和/或特定的图象（即 医疗和显微图像），采用不同的拍摄的 消费类电子产品，即，例如，在 普通数码相机和CCD相机(In this paper, we present a new clustering algorithm called Adaptive Fuzzy-K-means (AFKM) clustering for image segmentation which could be applied on general images and/or specific images (i.e., medical and microscopic images), captured using different consumer electronic products namely, for example, the common digital cameras and CCD cameras)