算法

图像处理的KMP算法源程序，KMP算法是一种基本的、实用的字符串比较算法，广泛应用于图像处理和模式识别。(Image processing algorithms source KMP, KMP algorithm is a basic, practical string comparison algorithm, widely used in image processing and pattern recognition.)

鼠标写毛笔字源码例程，程序结合易语言扩展界面支持库和图像格式转换支持库，实现用鼠标写出毛笔字的效果。可以展现多种毛笔字形态，启动时有使用帮助说明。(Mouse calligraphy source routines, programs combined with easy language support library expansion interface and image format conversion support library , use the mouse to write calligraphy achieve results. )

简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等，用于图像的特征提取。(simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA，in order to extract the feature space of image.)

说明：  用遗传算法实现的图像分割程序，很好用的程序！(Genetic algorithm is used to realize the image segmentation process, a good procedure to use!)

Image Database 2.5.0 (w/ thumbnails)

遥感图像处理源代码，包括遥感影像读入、几何校正、影像重采样等等(Remote sensing image processing code)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

基于相位和Lucas Kanade方法的光流计算matlab源程序。(Based on the phase and Lucas Kanade optical flow calculation methods matlab source.)

说明：  RM的编码过加性高斯白噪声信道（AWGN）后译码的C++ 实现程序，C语言产生高斯白噪声(RM of coded additive white Gaussian noise channel (AWGN) after decoding in C++ program, C language generated Gaussian white noise)

利用基于直方图的自适应阈值方法实现分割前景与背景(Segmentation of foreground and background using histogram-based adaptive threshold method)