SSIP2013-master

静态图像显著性分析程序，利用matlab开发。加州理工三位教授所写。(Software] Saliency Map Algorithm : MATLAB Source Code Below is MATLAB code which computes a salience/saliency map for an image or image sequence/video (either Graph-Based Visual Saliency (GBVS) or the standard Itti, Koch, Niebur PAMI 1998 saliency map). See the included readme file for details. I also have a newer, simpler version implementing only the Itti algorithm (see simpsal/readme.txt). Please try it out and email me if you have any questions. Download: Please select one of the following to download: [gbvs.zip] This package includes an implementation of the full GBVS algorithm. It also lets you compute an Itti, Koch, Niebur saliency map. It includes a function for computing the ROC score between eye-movements (provided as x,y fixation points) and a saliency map, and a function for displaying a saliency map overlayed on top of an image (as in the screenshot below). Right after you download the zip file, you must change into the gbvs/ directory and run: >>)

在高斯混合噪声背景下实现SLIM谱估计算法和l1范数SLIM谱估计法，并在-5到15的信噪比条件与CRLB对比均方频率误差(the paper achieves the SLIM spectral estimation algorithm and l1-SLIM spectral estimation method under the Gaussian mixture background noise,then compares the mean square frequency error with CRLB under SNR from-5 to 15 )

产生高维的高斯白噪声数据，这在SAR中使用的很多，并且占有重要的地位，主要表现在，SAR去噪这一部分，能更好的成像(White Gaussian noise high-dimensional data, used in SAR lot, and occupy an important position, mainly, SAR denoising this part, better imaging)

极坐标和平面坐标的转换，在图像处理中可以很好解决在一个坐标下不能解决的问题。(Polar coordinates and plane coordinates conversion, in image processing can be solved in a coordinate system can not solve the problem.)

说明：  数字图像处理：阈值分割及形态学处理，本程序出色的完成了图形提取，内容包括程序，讲解和运行结果(Digital image processing: segmentation and morphology threshold treatment, the procedure was completed excellent graphics extraction, including procedures and operations on the results of)

说明：  利用基于直方图的自适应阈值方法实现分割前景与背景a）设定三个不同阈值，直接观察分割结果； b) 利用统计直方图，得到一个自适应的阈值.(The segmentation foreground and background a are realized by using the histogram based adaptive threshold method, and three different thresholds are set, and the segmentation results are observed directly. B) a adaptive threshold is obtained by using the statistical histogram.)

能进行基于Arnold算法的正变换和反变换(Arnold-based algorithm to the transformation and anti-transform)

C语言数学形态学的腐蚀运算，同时适用于二值图像与灰度图像。(C language mathematical morphology erosion operation also apply to binary images and gray-scale image.)

C#的图像处理，用于验证码的识别功能，可以识别简单的有背景干扰的验证码(C# image processing, is used to identify functional verification code, you can recognize simple background interference verification code)

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)