IEEEpapers

说明：  给照片加相框，相框的边界可根据照片的尺寸自动调节，支持灰度和彩色jpg照片。(This code frames images with a beautiful frame. Automatically adjusts the bordering i.e. framing according to the image s dimensions. Works for both colored and gray images. )

进一步加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(Kalman filter algorithm to further deepen the understanding and knowledge of the basic characteristics of the Kalman filter algorithm, Kalman filter algorithm is applied to master the basic steps and methods of research)

matlab环境下编写的对导入的有限元模态振型数据进行动画演示的程序！(matlab environment prepared by the import of the vibration modes of the finite element data animation program!)

模糊自适应控制，能够很好地跟踪控制，控制效果好，精度高，误差小。(Fuzzy adaptive control, tracking control can be a good control effect, high precision, small error.)

ACO, Ant Colony Optimization, Traveling Salesman Problem, TSP

Adaptive Volume Rendering using Fuzzy Logic Control

用matlab编写的kalman滤波源程序，经过详细测试绝对可以可靠使用(Prepared using matlab kalman filter source code, after careful testing can certainly use a reliable)

This Matlab code is written by me and its purpose is for car plate detection by using labeling and morphological operation. Its very fast and simple. for working on specific database it needs to change structural elements of morphological operation and also the area of white pixels in labeling part. for any information you can contact with me through my email.

car plate recogion system

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)