funqei

在图像去卷积算法引入先验模型的应用,主要是建立马尔可夫随机场先验模型.很大程度上改进了去卷积的效果,更多的保持了图像的边缘特征.(In image deconvolution algorithm Application of the introduction of a priori model, mainly the establishment of Markov random field a priori model. A large extent, improved the effectiveness of deconvolution, more to maintain the image of the edge feature.)

说明：  mfc开发程序及经验，以工业相机采集系统为例进行了框架类的设计使其完成采集 存储 及图像的处理(mfc development process and experience with industrial camera acquisition system as an example of the framework class is designed to complete the acquisition and storage and image processing)

说明：  一种新的图像清晰度评价函数,该函数对经典采用八方向模板Sobel边缘检测算子来检测梯度值(A new image definition evaluation function, which uses eight direction template Sobel edge detection operator to detect gradient value)

说明：  处理高光谱图像，包括张量数据转化为矩阵数据，矩阵数据转化为张量数据，卷积神经网络基本框架。(Processing hyperspectral images)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

若干次压缩后图像信噪比的变化情况，有子程序实现 (Several compressed image signal to noise ratio of the changes have Subroutine realize)

异步被动传感器系统模糊Hough变换航迹起始算法，模式识别，图形图像处理的经典算法(Asynchronous passive sensor system, fuzzy Hough transform track initiation algorithm, pattern recognition, graphics, image processing algorithm of the classical)

我的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下。(I graduated from design, matlab key frame extraction for the code, with reference to code optical flow method. Frame difference is based on the Euclidean distance, the mean, variance, difference coefficient under the key frame extraction. Debugging through the code, run the results are satisfactory, the next to share with you.)

说明：  本程序主要对遥感图像实现三种处理：几何校正、图像增强和图像配准。这三种处理都可以独立实现，然而对于原始的遥感图像将这三种处理依次进行效果更佳。(This program mainly deals with three kinds of remote sensing image processing: geometric correction, image enhancement and image registration. These three kinds of processing can be realized independently, but for the original remote sensing image, the effect of these three kinds of processing in turn is better.)

数字图像处理 哈里斯脚点检测算法实现 图形界面完全 先高斯滤波 在监测角点(image processing Harris coner dection GUssian filter)