SST

说明：  图像去雾可以还原图像的颜色和能见度，同时也能利用雾的浓度来估计物体的距离，这些在计算机视觉上都有重要应用(Image Fog can restore the color and visibility of the image, but also can use the concentration of the fog to estimate the distance of the object, which have important applications in computer vision)

C#的图像处理，用于验证码的识别功能，可以识别简单的有背景干扰的验证码(C# image processing, is used to identify functional verification code, you can recognize simple background interference verification code)

ISODATA算法是在k-均值算法的基础上，增加对聚类结果的“合并”和“分裂”两个操作，并设定算法运行控制参数的一种聚类算法,从而实现遥感影像的非监督分类(ISODATA algorithm is a clustering algorithm based on K-means algorithm, which adds two operations of "merging" and "splitting" of clustering results, and sets the operation control parameters of the algorithm, so as to realize unsupervised classification of remote sensing images.)

通过maketform和cp2form指令将倾斜图形通过放射变换和投影变换纠正过来(By maketform and cp2tform instructions diagonal pattern by affine transformation and projection transformation corrected)

实现图像的旋转，根据旋转矩阵进行旋转,并对结果进行调整(rotate picture)

对图像进行纹理处理，为图像识别、目标跟踪创造条件。主要分析：惯性矩、熵以及局部平衡性。(The image texture processing for image recognition, target tracking and create conditions. Main analysis: moment of inertia, entropy, and local balance.)

整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)

用MATLAB来实现简单图像特征点提取和匹配(Using MATLAB to implement a simple image feature extraction and matching)

图像局部放大功能。包括主要的三个消息处理函数，由鼠标拖动画出需放大区域，松开即将图像局部放大到整个客户区，能够实现层层放大。(enlarge images partial function. Including the three main message processing function, the mouse scrolling painted by the need to enlarge the regional, Loosen the forthcoming local enlarge images of the entire client area, can be achieved at every level to enlarge.)

自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。(This is a M function written by self, it can be used to rebuild a image with a given number of gray-level and a given gray-scale. Output image is double class.)