登录
首页 » Visual C++ » 256togray

256togray

于 2014-04-19 发布 文件大小:4200KB
0 225
下载积分: 1 下载次数: 1

代码说明:

  可以将256色度级的图像转化为灰度图象,挺值得新手学习一下的,希望大家能喜欢(256 chroma level images can be converted to grayscale images, very worth novice to learn about, and I hope you like)

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

  • OpenSURF_matlab
    SURF 图像特征点快速提取法还有描述,可用于迅速匹配两张图片中的特征点(SURF image feature points extraction method also described fast, can be used to quickly match the image feature points in the two)
    2014-03-28 01:08:21下载
    积分:1
  • quanjingtupinheyuchuli
    一种有效的全景图拼合预处理算法.适用于图像的拼接。是论文!(An effective pre-processing algorithm together panorama. Splicing applied to images. Is a thesis!)
    2008-04-15 16:42:03下载
    积分:1
  • realtimesuperpixel-master
    运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)
    2018-01-11 11:54:41下载
    积分:1
  • EasyDraw
    asyDraw是一个简单的绘图软件,这个实例会综合运用本章所介绍了Visual C++ 2005的基础知识(this program for paint)
    2010-01-12 10:09:38下载
    积分:1
  • 数字用到的标准测试 typical
    数字图像处理用到的标准测试图像,很多图片。(IMP test images。)
    2013-10-24 22:18:01下载
    积分:1
  • FBP
    CT(computer tomography )图像重建算法,FBP,是目前商用CT的主流重建算法(computer tomography reconstruction algrithm)
    2020-09-05 04:38:06下载
    积分:1
  • shape-matching
    基于形状的模板匹配,用到了opencv,主体包含两部分,建模与金字塔搜索。(Based on the shape of the template matching, the use of opencv, the main body contains two parts, modeling and pyramid search.)
    2020-12-07 21:09:22下载
    积分:1
  • EyeTracking-with-OpenCV--
    说明:  转载的,通过眨眼前后灰度图对比是别人眼,一个学习opencv工具的好例程。(Reproduced by blinking eyes of others around the grayscale contrast, a learning tool opencv good routine.)
    2011-03-19 21:57:03下载
    积分:1
  • SLIC
    超像素分割程序,既有原码,也有可执行程序,验证过,好用。(Super-pixel segmentation procedure, both the original code, there are executable programs, proven, easy to use.)
    2021-01-18 16:08:42下载
    积分:1
  • DE
    说明:   最简单的差分格式有向前、向后和中心3种。 向前差分:f (n)=f(n+1)-f(n) 向后差分:f (n)=f(n)-f(n-1) 中心差分:f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)
    2016-05-17 21:08:01下载
    积分:1
  • 696518资源总数
  • 106208会员总数
  • 21今日下载