focuss-cndl

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))

应用于车牌识别中图像增强部分的对比度增强部分！（试了，出的图像效果对比效果比较明显）(License Plate Recognition used in image enhancement part of the contrast enhancement part! (Tried out the effect of the image contrast more obvious))

说明：  MATLAB计算石墨烯能带，判断最近邻，对角化哈密顿量(Calculation of graphene energy band by MATLAB)

图像处理中的RGB颜色空间和HSI颜色空间互相转换的程序(Image processing RGB color space and the HSI color space mutual conversion process)

C. Li, C. Xu, C. Gui, M. D. Fox, "Distance Regularized Level Set Evolution and Its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254, 2010.

图像的几何变换，基于VC++的MFC的。旋转、放大、缩小等(Image geometric transformation, based on the VC++ the MFC. Rotate, zoom in, zoom out, etc.)

一篇关于光声成像的图像重建算法研究，开发工具为matlab，罗列了很多理论知识(A photoacoustic imaging of image reconstruction algorithms, development tools matlab, listed a lot of theoretical knowledge )

C# 使用Halcon进行模板匹配定位(C# uses Halcon for template matching and location)

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

MAP超分辨率重建算法,实现图像的超分辨率重建。(the MAP code for super-resolution)