登录

VC_for_digital_image_procesing_algorithms_and_impl

algorithms数字图像处理典型算法及实现
  • PUDN用户
    了解作者
  • PDF
    开发工具
  • 5MB
    文件大小
  • rar
    文件格式
  • 0
    收藏次数
  • 10 积分
    下载积分
  • 30
    下载次数
  • 2010-03-19 11:51
    上传日期
Visual_C++数字图像处理典型算法及实现
VC_for_digital_image_procesing_algorithms_and_impl
  • Visual_C++数字图像处理典型算法及实现.pdf
    6.2MB
内容介绍
<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/6243d1f20cf57275afa07ad0/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/6243d1f20cf57275afa07ad0/bg1.jpg"><div class="c x0 y1 w2 h2"><div class="t m0 x1 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">&#25968;<span class="_ _0"></span>&#23383;&#22270;<span class="_ _0"></span>&#20687;<span class="_ _0"></span>&#20998;<span class="_ _0"></span>&#26512;<span class="_ _0"></span>&#19982;<span class="_ _0"></span>&#22788;<span class="_ _0"></span>&#29702;<span class="_ _0"></span>&#25216;<span class="_ _0"></span>&#26415;<span class="_ _0"></span><span class="ff2"> </span></div><div class="t m0 x2 h4 y3 ff2 fs1 fc0 sc0 ls0 ws0">V<span class="_ _1"></span>is<span class="_ _0"></span>u<span class="_ _0"></span>al <span class="_ _0"></span>C+<span class="_ _0"></span>+<span class="_ _0"></span><span class="ff3">&#25968;<span class="_ _0"></span>&#23383;<span class="_ _0"></span>&#22270;<span class="_ _0"></span>&#20687;<span class="_ _0"></span>&#33719;<span class="_ _0"></span>&#21462;<span class="_ _0"></span>&#12289;<span class="_ _0"></span>&#22788;<span class="_ _0"></span>&#29702;<span class="_ _0"></span>&#21450;<span class="_ _0"></span>&#23454;<span class="_ _0"></span>&#36341;<span class="_ _0"></span>&#24212;<span class="_ _0"></span>&#29992;</span></div></div><div class="c x3 y4 w3 h5"><div class="t m0 x0 h4 y5 ff2 fs1 fc0 sc0 ls0 ws0"> </div></div><div class="c x0 y1 w2 h2"><div class="t m0 x4 h3 y6 ff2 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h3 y7 ff3 fs0 fc0 sc0 ls0 ws0">&#26472;<span class="_ _0"></span>&#26525;&#28789;<span class="_ _0"></span><span class="ff2"> <span class="_ _2"> </span> <span class="_"> </span></span>&#29579;<span class="_ _0"></span>&#24320;<span class="_ _0"></span><span class="ff2"> <span class="_ _2"> </span> <span class="_"> </span></span>&#31561;<span class="_ _0"></span>&#32534;<span class="_ _0"></span>&#33879;<span class="_ _0"></span><span class="ff2"> </span></div><div class="t m0 x6 h6 y8 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y9 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 ya ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 yb ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 yc ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 yd ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 ye ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 yf ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y10 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y11 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y12 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y13 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y14 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y15 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y16 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y17 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h6 y18 ff2 fs2 fc0 sc0 ls0 ws0"> </div><div class="t m0 x7 h7 y19 ff3 fs3 fc0 sc0 ls0 ws0">&#20154;&#27665;<span class="_ _0"></span>&#37038;<span class="_ _0"></span>&#30005;<span class="_ _0"></span>&#20986;<span class="_ _0"></span>&#29256;&#31038;<span class="_ _0"></span><span class="ff2"> </span></div><div class="t m0 x8 h6 y1a ff2 fs2 fc0 sc0 ls0 ws0"> </div></div></div><div class="pi" data-data='{"ctm":[1.910191,0.000000,0.000000,1.910191,0.000000,0.000000]}'></div></div> </body> </html>
评论
    相关推荐
    • CS_recovery_algorithms_OMP_SP_IHT.rar
      贪婪算法求解压缩感知重构的问题，代码是比较典型的，挺好用的，分享一下
    • palm.rar
      这是介绍掌纹识别算法的几篇好文章，我总结了一下，希望对大家有帮助。
    • several-interpolation-algorithms.rar
      几种插值算法的比较研究，对于算法比较很有帮助。
    • algorithms-and-implementation.rar
      Visual C++数字图像处理典型算法及实现 源码
    • 图像物体分类与检测算法综述
      图像物体分类与检测算法综述Image classification and object detection algorithm Summary-Image classification and object detection algorithm Summary
    • 目标跟踪综述及相关滤波跟踪论文
      本资源包含目标跟踪的领域较为经典的综述文章，以及相关滤波类目标跟踪算法的论文，包含MOSSE目标跟踪，KCF目标跟踪以及CSR-DCF目标跟踪算法。
    • MATLAB典型环节代码-camsim:相机模拟
      它可用于评估在这些类型的失真和参数下的不同图像处理算法： 飞机下的任何安装角度 针Kong相机型号 几何变形，包括Brown-Conrady 5参数变形 光度失真，包括高斯噪声，渐晕和总增益（一天中的时间） 时间失真，包括...
    • 基于深度学习的目标检测技术综述_陆峰.rar
      近年来, 目标检测的深度学习算法有突飞猛进的发展. 基于深度 学习的目标检测算法大致可分为基于候选区域和基于回归两大类. 基于候选区域的目标检测算法精度高, 但是结构 复杂, 检测速度较慢. 而基于回归的目标检测...
    • 非压缩域数字视频中文字的检测与提取.rar
      非压缩域数字视频中文字的检测与提取， 理论知识，适合新手参考
    • codesforimageprocessing.rar
      实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。
    最新资源