Smooth

说明：  LMMSE图像超分辨率重建，基于先验知识的图像超分辨率重建(LMMSE image super-resolution reconstruction, image super-resolution reconstruction based on prior knowledge)

利用相位相关法实现了图像的匹配，这种方法的优点是提取速度快，方法简单，运算量少。(Using the phase correlation method to realize the image matching, the advantage of this method is the extraction method is simple, fast, less computation.)

用于数字图像处理的椒盐噪声滤波的自适应算法，(Salt and pepper for digital image processing adaptive noise filtering algorithm)

实现了灰度共生矩阵，并应用到了几张图片上。 C++ 和OPENCV 代码。 图像处理(GLCM achieved and applied to a few pictures. C++ and OPENCV code. Image Processing)

分别使用灰度值变换和频域滤波的方法实现图像的伪彩色处理。在Matlab中编程实现(The use of gray value, respectively, transform and frequency domain filtering method of pseudo-color image processing. Programming in Matlab in)

snake模型寻找图像边界，以及改进的GVF算法(snake model for image border, and to improve the algorithm GVF)

bmp文件的读取,2,8,16,24bit自适配(bmp file read,2、8、16、24bit adjust)

数字图像处理 哈里斯脚点检测算法实现 图形界面完全 先高斯滤波 在监测角点(image processing Harris coner dection GUssian filter)

能够实现对生物芯片的识别和图像处理，识别有效芯片区域，读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)

一种图像分割算法，通过区域生长进行图像分割，所得到的区域是闭合的曲线。(An image segmentation algorithm for region growing image segmentation, the region has been closed curve.)