jiansuo

多聚焦图像融合的源代码，还包括几个评价指标的的function函数(Multi-focus image fusion source code, also includes several evaluation function function)

彗星窗口水印源码例程程序结合易语言模块彗星窗口水印.ec，实现窗口水印效果。(Comets window watermark source routine program combining easy language module comet window watermark .ec, achieve window watermark .)

用SAV函数实现分析图像数据的实用程序，功能上基本可以实现的。(with HBV Function analysis of image data of practical procedures, the basic function can be realized.)

gmcalab fast generalized form component analysis, Multi-target tracking particle filter, Calculate the multifractal trend fluctuation analysis.

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

对圆形，正方形，长方形等几何图形进行计算面积，周长等运算(Circular, square, rectangular and other geometric shapes are calculated area, perimeter of operation)

实现高斯模糊，运动模糊等的点扩展函数psf的估计，并复原(The estimation of point spread function PSF, such as Gauss blur and motion blur, is realized and restored.)

基于K均值聚类的图像分割，灰度图像分割案例，真彩图像分割案例(K-means clustering-based image segmentation, image segmentation case, the true color image segmentation case)

图像数字水印中所涉及到的代码以及具体的文字的详细说明(The code involved in the image digital watermarking)

对火焰惊醒提取轮廓 并求取周长面积 圆形度(Woke up on the flame contour extraction and the degree to strike a circular perimeter area)