dwt_ihs_fusion

对Vladimir Kolmogorov，Yuri Boykov大牛的算法杰作——Graph Cut进行使用演示，代码力求精简，可供Graph Cut初学者参考学习。已通过VS2005编译。(Of Vladimir Kolmogorov, Yuri Boykov big cow masterpiece algorithm- Graph Cut for the use of demonstration, the code to be simple, for beginners Reference Graph Cut Study. VS2005 compiler has passed.)

此程序代码实现超分辨率图像的重建、复原 联合开发网 - pudn.com

使用QT编程实现2D图像处理的各功能，包括彩色图转灰度、二值化、二值的形态学操作、灰度的形态学操作等等。(Using QT programming each 2D image processing functions, including color conversion grayscale, binary, binary morphological operations, grayscale morphological operations and so on.)

说明：  基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。(Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.)

提出一种基于空间域的多聚焦图像融合技术：首先计算点分布函数（PSF），然后利用PSF模糊源图像，最后通过组合原图像中较为清晰的像素点来生成全聚焦图像。(We propose a multi-focus image fusion based on space domain techniques: First calculate the point distribution function (PSF), then use the PSF fuzzy source image, and finally to generate omni-focus image by combining the original image clearer pixels.)

自适应中值滤波，对图像的椒盐噪声有很好的滤除效果，非常不错的程序(Adaptive median filter, the image of the salt and pepper noise filtering effect of a very good, very good procedures)

【实例简介】 云信开源的电子白板，有web、android、ios、qml

说明：  MATLAB视频人体异常行为识别 本文设计了一款人体行为异常监控系统，主要适用人群是老年人，在摄像头固定的情况下，自动检测人体运动轨迹，并与提前设定好的行为库进行匹配，分析判断是否具有异常行为。(Human abnormal behavior recognition in matlab video In this paper, a monitoring system of human behavior abnormality is designed, which is mainly suitable for the elderly. When the camera is fixed, it can automatically detect the human movement track, and match with the behavior database set in advance to analyze and judge whether there is abnormal behavior.)

用MATLAB实现的细胞边缘检测,癌细胞颜色分析,癌细胞形态学分析(MATLAB cell edge detection, color cell analysis, morphological analysis of cancer)

说明：  对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)