Gaussian-filtering

几种经典的图像噪声方差估计方法（论文和源代码）(Several classical noise estimation method (articles and source code))

此代码为显著性检测代码，显著性检测效果不错(This code is a significant detection code to detect significant good results)

一个核fisher的代码，同样由matlab实现(A nuclear fisher code, also realize from matlab)

用于人脸识别边缘检测，实现5个尺度、8个方向的检测。(Edge detection for face recognition)

二值化处理图像，自动拟合椭圆并得到长短轴的大小。(Automatically fit the ellipse and get the size of the long and short axes)

官方版SaliencyToolbox最新版本，对加载图片进行视觉注意机制的显著性运算，压缩包内含多张素材图片(The latest version of official version SaliencyToolbox of, load the image of the visual attention mechanism, a significant sex operator, compressed packets containing more than one material picture)

本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

说明：  主要颜色谱 计算主要的颜色来舍弃其他的颜色，用少数的颜色个数代替大多数进行聚类(Main color spectrum calculation primary colors to abandon other colors)

说明：  特征选择算法，防止分类结果出现过拟合，提前对多维的特征向量进行选择筛选(A feature selection algorithm)