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说明：  基于python-opencv的图像匹配代码，包含了SIFT、SURF、AKAZE、ORB方法。43-48行修改图像路径，74-81修改匹配方法。(dev: python3.6+opencv_python==3.4.2+opencv-contrib-python==3.4.2)

边沿检测轮廓跟踪,在图像处理中非常重要的边缘检测轮廓跟踪算法。(Edge detection contour tracking, image processing in a very important edge detection contour tracking algorithm.)

通过多尺度分解，实现医学图像的图像融合，达到更好的效果(Through multi-scale decomposition, medical image fusion can be achieved to achieve better results.)

基于颜色衰减先验的图像去雾算法源码,作者是Zhu，大家可以作为论文中的比较算法(the matlab code of image dehazing based on color attenuation prior)

对图像变形的一些基本算法的介绍和功能的描述等 (about marphing )

说明：  SIFT特征点的提取和匹配，SIFT算法首先在尺度空间上进行关键点检测，确定关键点的位置和关键点所处的尺度，然后使用关键点邻域梯度的主方向作为该点的方向特征，最后由关键点邻域梯度信息生成关键点的特征向量(SIFT algorithm firstly detects the key points in the scale space, determines the location of the key points and the scale of the key points, then uses the main direction of the key point neighborhood gradient as the direction feature of the point, and finally generates the feature vector of the key points from the key point neighborhood gradient information)

说明：  火灾预警系统，实现火焰的特征提取，结合SVM分类算法(Fire early warning system, to achieve the feature extraction of flame, combined with SVM classification algorithm)

说明：  两种图像分割方法，迭代阈值分割和大津阈值分割(Two image segmentation methods, iterative threshold segmentation and Otsu threshold segmentation)

属于图像分割的一种，利用matlab实现CV型,可以当function使用。其中包含图片，可以进行使用。(It belongs to one kind of image segmentation, and uses MATLAB to realize CV type, which can be used as function.It contains pictures, which can be used.)

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)