open-file

基于VC环境下的直线裁剪算法Cohen-Sutherland算法和Liang-Barsky算法的实现(Based on the realization of linear cutting algorithm VC environment under the Cohen-Sutherland algorithm and Liang-Barsky algorithm)

Python 分水岭算法 用于图像分割等图像处理(Python watershed algorithm)

说明：  张正相机标定，用c++编程，亲证有用，里面有实际的图片，大家可以直接俄使用(Zhang zheng method it is very useful for camera detecting and it contains many pictures i hope you will get help from it)

我自己做的一个bmp文件进行24位真彩转256灰度和二进制的程序，并能用sobel算法，识别物体的边界。 (I myself make a bmp file for 24-bit true color to 256 gray-scale and binary procedures and sobel algorithm can be used to identify object boundaries.)

自适应的图像增强，使用matlab编的代码，实现一篇核心文献的算法(Adaptive image enhancement using matlab compiled code to achieve a core algorithm literature)

说明：  用于物体目标轮廓的提取与跟踪，能更好的识别出物体轮廓。(Target contour for object extraction and tracking, to better identify the contours of objects.)

这里的图像增强包括灰度修正、平滑、滤波、锐化等，是图像处理的基本操作，本代码调试通过(Here, including gray-level correction image enhancement, smoothing, filtering, sharpening, etc., is the basic image processing operations, the code debugging by)

对图像的融合结果进行评价，有均值，标准偏差，熵，梯度，相关系数，光谱扭曲度(Image fusion results of the evaluation, there is the mean, standard deviation, entropy, gradient, correlation coefficient, spectral degree twist)

利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)

数字图像处理中图像的增强方便的源代码，包括图像灰度修正，图像的平滑，中值滤波，图像的锐化，伪彩色和假彩色的增强等(Digital image processing image enhancement convenient source code, including the gray correction, image smoothing, median filtering, image sharpening, pseudo-color and false color enhancement, etc.)