imagedehaze

说明：  使用mean shift方式增强图像对比度的一个小演示（开发平台：matlab7.0）(Using mean shift mode contrast-enhanced images of a small demo (Development Platform: matlab7.0))

曲波变换程序包，带有测试图片。请尊重别人的劳动。(Qu Bo transform package, with a test picture. Please respect other people)

matlab图像处理，可以提取图像轮廓，提取效果好。(matlab image processing, image contour can be extracted, extraction effect.)

实现图像识别，基于小波变换实现图像特征提取，然后神经网络进行训练(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)

在边缘检测之后得到的边缘不一定是完整的，利用这个函数可以将个线段生长一些，然后连接起来，成完整的形状(At the edge of the edge detection after get is not necessarily complete, use this function can be a line segment to grow some, and then connect, into the shape of a complete)

FDK重建算法，是CT三维重建的解析方法，是近似重建(FDK reconstruction algorithm, which is a CT three dimensional reconstruction analysis method, is the approximate reconstruction )

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

图像拼接，这是个图像拼接，还能说什么呢我的天是不是傻要字数限制(image fusion i have to think something to explain how to congraduation this website)

使用C++和CUDA编写的双边滤波器。在平滑图像的同时可以保持边界(Using bilateral filter the C++ and CUDA written. Boundary can be kept in the smooth image while)

digital color image watermarking based on dct-svd usinf differential evolution