demo_mtjsrc_OxfordFlower_17

优化了的DLT算法，能够很好地跟踪目标。请下载woman等视频序列(Optimized DLT algorithm can track the target very well. Download woman and other video sequences)

将颜色图像的色彩迁移到灰度图像中，采用的算法为welsh算法，有较好的效果；该程序是在VC++6.0的环境下调试实现的，能将颜色图像的颜色较好的迁移到灰度图像中.(Migration of the color image to gray image in color, using the algorithm for the welsh algorithm, better results the program in VC++6.0 environment debugging to achieve, can color the better the color of the image transfer to the gray image.)

基于DWT的图像自适应增强 ，可以用于图像增强的源代码(matlab)

几篇关于基于粒子滤波的检测前跟踪论文。中文英文都有。(Some papers are about PF-TBD， it is very useful in track before detected. )

合成孔径雷达成像算法与实现（仿真代码） 书中光盘所附带的数据处理源码(SAR imaging algorithm and implementation (simulation code))

图像处理matlab程序的源代码。包括图像的高通滤波和掩模处理，图像的阈值分割等。(MATLAB image )

该程序利用小波模极大值对图像边缘进行检测并提取,效果很理想(The program using the wavelet modulus maxima of the image edge detection and extraction, the effect of very satisfactory)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)

火焰识别系统，支持图片、视频、摄像头实时监测

本文主要研究基于水平集方法的活动轮廓模型图像分割，在回顾活动轮廓模 型发展的基础上，介绍了曲线演化理论及其水平集方法，证明了水平集方法可以 有稳定的数值实现方式且其处理拓扑变化的自然性，进一步引出了变分水平集方 法。 本文介绍了两种不同的几何活动轮廓模型：基于梯度信息的李纯明模型以及 基于区域信息的 Chan-Vese 模型（C-V 模型）。在分析上述两模型的优缺点上，提 出了一种改进的 C-V 模型，改进模型引入了距离约束项，同时对基于区域的外部 能量项进行了改进，使得水平集函数重新初始化寓于模型的演化之中，分割结果 对参数的依赖性减小。 (This paper mainly study image segmentation of active contour model based on level set. After reviewing the development of the active contour model, curve evolution and level set method are presented, then we proved that the level set method has a stable numerical realization and can describe the topology change of the contour naturally, in addition we introduce level set of variational method. We introduce two different GAC models in this paper: Li Chunming model which is based on gradient information and Chan-Vese model （C-V model） which is based on region information. Based on the drawbacks and advantages of these two models, we improve the C-V model by adding penalizing energy term of signed distance function, at the same time, mending the external energy term which based on region information, then the re-initialization of the level set can accomplish in the model evolution, and the degree of the segmentation result depend on the parameters decline. )