登录
首页 » matlab » minboundrect

minboundrect

于 2012-02-26 发布 文件大小:2KB
0 206
下载积分: 1 下载次数: 264

代码说明:

  计算一个封闭区域的最小外接矩形的matlab代码。(calculate the minest rect of area)

文件列表:

minboundrect.m,5241,2011-10-23

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

  • 目标检测定位算法源码
    说明:  这个一个在目标检测中起定位作用的神经网络代码,不过这次我没有写使用教程,东西应该不难。(This is a neural network code that plays a role in target detection, but this time I did not write a tutorial, things should not be difficult.)
    2020-10-08 14:48:59下载
    积分:1
  • main
    matlab实现的小波降噪声图像处理算法,效果十分好,自己做了调试。(The wavelet reduced noise image processing algorithm realized by Matlab is very effective and has been debugged.)
    2018-01-07 20:50:27下载
    积分:1
  • 特征提取
    应用灰度共生矩阵求解纹理特征并用熵,相关性,惯性矩,能量,局部平衡等参数带有实例照片可以直接编译(Applying the grayscale symbiotic matrix to solve the texture features and using entropy, correlation, inertia moment, energy, local equilibrium and other parameters with example photos can be compiled directly.)
    2018-01-29 09:37:43下载
    积分:1
  • yuandaima
    用VC实现Canny算子提取图像边缘,提高图像质量(Using VC realize Canny operator extracts image edge to improving image quality.)
    2012-03-02 22:04:27下载
    积分:1
  • 点云数据(圆柱面)
    点云数据(圆柱面)
    2020-06-06下载
    积分:1
  • ASP.NET甘特
    ASP.NET甘特图表
    2015-07-01下载
    积分:1
  • Face-Eye-Detection
    说明:  一种人脸识别方法,是利用眼睛虹膜进行识别(A face recognition method is the use of iris identification)
    2009-08-24 22:48:34下载
    积分:1
  • susan
    Susan算法,用于角点检测。很先进的方法,国内有人改进过,这是原来的方法。(Susan algorithm for corner detection. The most advanced methods, there are those who improved, this is the original method.)
    2008-07-13 17:22:03下载
    积分:1
  • 数字书籍
    数字图像处理第三版,中文版,PDF文档,还算清晰(Chinese version of digital image processing)
    2017-12-21 16:45:32下载
    积分:1
  • MATLAB指纹识别(GUI,比对两幅指纹,完美运行)
    说明:  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像灰度化、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)
    2020-02-16 22:03:11下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载