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基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 (adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)

基于matlab神经网络的遥感图像分类，使用了BP神经网络(Matlab neural network-based remote sensing image classification using BP neural network)

汉字识别,可以识别图片中的汉字，进行图像处理，本科毕业设计的资料(Chinese character recognition)

对图像进行反转，这是图像传统的增强方法，是对像素点的增强。(Invert the image, which is the traditional method for enhancing an image, the pixel point is increased.)

说明：  用Lorenz序列进行彩色图像加密，加密效果良好，性能得到较大提升(Using Lorenz sequence to encrypt color image, the encrypting effect is good and the performance is greatly improved.)

基于阴影形成的原理及阴影区域的特点，研究阴影区域的特征表示方法； 基于阴影区域特征设计或改进阴影检测方法，检测出户外图像中的阴影区域； 在检测出阴影区域的基础上，研究阴影去除方法； 编程实现相关方法并进行实验验证及分析。(Shadow detection and removal of single image)

实现对无噪声一维和二维信号的解缠，比较简单，入门级别(The realization of noise free one-dimensional and two-dimensional signal unwrapping is relatively simple, entry level.)

在桌面上显示图像，C++Builder精选编程学习源码，很好的学习资料。(Image display on the desktop, C++Builder select learning programming source code, very good learning materials.)

矩阵 pca或者低秩方法去噪，利用svd分解，实现对图像矩阵的去噪，该方法支持对rgb图像的去噪。使用代码请 文章中表明出处，感谢。 感谢重庆市研究生科研创新项目支持，项目号CYS16183(image denoise by low-rand regularizer or pca method. the low rank is evaluted by svd, and this method is also support for rgb image.)

一些常用的图像处理评价指标，处理后图像对比度，边缘剩余数，处理前后图像的相似性....(Some commonly used image processing evaluation, contrast, edges remaining number of similarities ....)