登录
首页 » matlab » beijing

beijing

于 2013-05-26 发布 文件大小:560KB
0 259
下载积分: 1 下载次数: 124

代码说明:

  基于均值法的背景建模的前景目标提取。适合刚接触这一块的人。(Background modeling method based on mean foreground object extraction.)

文件列表:

基于均值算法的前景目标提取
..........................\beijing.m,942,2013-05-22
..........................\movie.avi,590338,2013-05-17

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • yanjing
    通过图像处理技术实现对眼睛中的细微血管的提取,并进行强度变换,使效果更好。(Through the realization of extraction of slight blood vessels in the eye image processing technology, and intensity transformation, so that the effect is better.)
    2014-12-14 20:12:37下载
    积分:1
  • zhanzifuqiefen
    粘连字符切分,带测试图片,效果不错 (Adhesion character segmentation, with test images, good results)
    2020-06-30 17:40:01下载
    积分:1
  • 01
    说明:  变速恒频双馈风力发电机基于电子磁链定向的空载并网仿真模型(Variable speed constant frequency doubly-fed wind generators no-load parallel simulation model )
    2011-05-13 16:19:31下载
    积分:1
  • black-and-white
    图片黑白化,使彩色图片实现黑白化功能,还能还原色彩(Black and white pictures )
    2011-06-04 09:20:25下载
    积分:1
  • tezheng
    这是本人找到的非常好的几何特征提取源代码,包括周长。面积。伸长度、矩形度等用过了,很不错的!(This is my very best to find the source code for geometric feature extraction, including the perimeter. Area. Elongation, rectangular degree used, very good!)
    2010-11-30 15:10:02下载
    积分:1
  • GSM
    基于梯度相似度的图像质量评价方法,发表在2012年TIP国际期刊上(A. Liu, W. Lin, M. Narwaria, “Image Quality Assessment Based on Gradient Similarity,” IEEE Transactions on Image Processing, vol. 21(4), pp. 1500-1512, 2012.)
    2020-12-04 23:09:23下载
    积分:1
  • 主要介绍了利用harris进行角点提取 project3
    本文件主要介绍了利用harris进行角点提取,ncc算法进行粗匹配,ransac算法进行错误匹配点的消除(harris+ncc+ransac)
    2012-06-04 08:34:48下载
    积分:1
  • tuoyuanjibianjiaozheng
    实现椭圆几何畸变矫正,将原始椭圆形变的图像,矫正为矩形正常图像(The correction of elliptical geometric distortion is achieved, and the original elliptical image is corrected to rectangle normal image.)
    2020-12-07 17:19:21下载
    积分:1
  • pf_arithmatics
    matlab实现粒子滤波算法,对图像处理,定位,跟踪研究都有借鉴作用!(Matlab achieve particle filter for image processing, positioning and tracking studies have reference!)
    2007-03-13 16:30:22下载
    积分:1
  • Joint entropy
    说明:  计算两个离散变量x和y的联合熵z = H(x,y)。 输入:x,y:两个相同长度的整数向量输出:z:联合熵 可以使用,有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)
    2020-06-23 11:20:01下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载