regiongrowing.py.tar

说明：  实现 %1、利用RGB模型识别天空区域；2、利用边缘识别检测天空边缘分割线；3、利用预测边缘点和实际边缘点的周围区域的均值滤波与本边缘点下方的像素之间的差异大小来修正天空边缘分割线 %4、将sky_seg+depthmap_v2中多余的带注释的地方删掉了 %！！！记得在295行，一定要改动是用I6还是I7，如果用sky_initia(f = edge(double(BW),'canny',thresh,sigma);)

关于图像分割中分水岭的一个代码，能够实现相应功能，拿出来与大家共享(Image segmentation in the watershed on a code, can achieve the corresponding functions, and show to share with you)

非局域均值去噪算法，以及针对mri图片rician噪声的改进算法。(nonlocal mean denoising algorithm, and its modified version for mri images with rician noise.)

智能图像处理提出了一种改进的基于特征和回归分析的人群密度估计算法。引入图像中的角点个数作为低层特征(Interactive Images: Cuboid Proxies for Smart Image Manipulation)

将meanshift算法思想融入harris角点检测算法中，通过设置门限终止迭代漂移，亚像素级别地进行角点检测。(The mean shift algorithm ideas into a corner detection algorithm, terminate the iteration drift, carried out by the sub-pixel level corner detection limit by setting the door.)

一些使用支持矢量机进行图像分割的算法，以及相关的文献资料，打包下载的好东西哦(Some use support vector machine algorithm for image segmentation, and related literature, package download a good thing)

Images of diffraction

RMSHE算法（recursive mean-separate histogram equalization）。基本原理是将图像根据平均灰度进行分割，各部分分别进行直方图均衡。文件中包含RMSHE的matlab源代码，论文，以及输入图像(RMSHE algorithm (recursive mean-separate histogram equalization). The basic principle is that the image based on the average gray-scale is divided, each part respectively histogram equalization. File contains RMSHE matlab source code, papers, as well as the input image)

本程序用于图像恢复，主要针对运动模糊和离焦模糊图像恢复问题，效果较好。(failed to translate)

区域生长算法分割脑部图像， 两个种子点，解决完整分割白质的算法(Region growing algorithm for segmentation of brain images, the two seed points, solve the integrity of white matter segmentation algorithm)