face-segmentation

多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)

B样条曲面方法，通过b样条曲面的拟合得到图像的背景，减去背景图像就能得到重要内容的图像，除去了背景对图像内容的干扰，也可解决光照不均的问题(algorithms for cytoplasm segmentation of fluorescence labelled cells)

多尺度加权的rentinex算法实现图像增强，里面用到了高斯滤波对图像进行滤波，可以去除大部分的噪声，平滑图像效果较突出，3个高斯尺度对图像做滤波后加权在一起得到多尺度信息的图像。(Multiscale weighted rentinex algorithm is used to enhance the image. Gauss filter is used to filter the image, which can remove most of the noise. The smoothing effect of the image is prominent. Three Gaussian scales are filtered and weighted together to get the multi-scale information of the image.)

利用背景减除法进行运动前景分割，而后利用归一化RGB颜色空间进行阴影减除，利用连通域进行滤澡，对每一帧进行运动前景提取。(Motion detection by background subtraction and RGB shadow removing method.)

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)

Digital Image Processing writed by Gonzalez second edition of the Chinese version

说明：  对图像进行哈夫曼编码并且能够解码，可以在命令行中选择图像地址(Huffman encoding and decoding of images)

显示不同类型的色表，并查找相应区域或位置的值。 基于idl编程 (Show the different types of color tables, and find the corresponding value of the region or location. Idl-based programming)

出自较新的国际会议论文的图像去噪算法实现。对自然图像的去噪非常有效，即可以自己实际使用，也可以进一步研究学习。(From a relatively new international conference papers realize the image denoising algorithm. Denoising of natural images are very effective, that is their actual use, can also further study.)

本文主要是针对传统混合高斯模型运动目标检测算法的不足做出了一些改进(This article is for the shortcomings of traditional Gaussian mixture model moving object detection algorithm made some improvements)