Producing-Letters-on-7Segment

pso粒子群优化算法程序 加了实现模糊功能的新算法,(Pso (particle swarm optimization algorithm program added a new algorithm of fuzzy functions,)

说明：  通过双通道PCNN来实现多源图像融合，算法简单易于实现(image fusion using dual channel PCNN)

说明：  计算图像边缘保护指数EPI，需要原始图像与处理后图像(To calculate the EPI, the original image and the processed image are needed)

去雾处理，可以生成深度图和去雾后的图像 用matlab实现(To fog treatment, can generate a depth map and to fog the image after the realization of using matlab)

一个计算频率域的带通滤波器，图像处理中常用的滤波方式之一。(Computes frequency domain band filters)

摄影测量单独法相对定向源代码的编写，结构较简单，易懂(relative oriention)

分享一个很好的图像处理MATLAB，代码最小全变差图像重建(Sharing a good image processing MATLAB, the code minimum total variation image reconstruction)

这是我根据别人的算法写的模拟停车场问题的c程序,原有算法有一些指针调用的错误！,现已改正()

基于小波变换的使用SPIHT算法进行图像压缩，并对原有的算法进行优化(Based on wavelet transform using the SPIHT algorithm for image compression, and the original algorithm to optimize)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)