-
plot
使用sift+RANSAC完成两幅图像的特征提取和匹配,并将较小图像区域在另一幅中用方框圈出来。运行plot.m。(This code uses sift and RANSAC to extract features of two images and then finds and marks the smaller image in the other image.run plot.m)
- 2015-05-10 21:07:27下载
- 积分:1
-
C# itextsharp.dll创建生成PDF文档源码实例
本实例用到了第三方组件ICSharpCode.SharpZipLib.dll、itextsharp.dll。
- 2017-10-19下载
- 积分:1
-
matlab-cbir-master
cbir matlab code gui, for retri image
- 2016-08-07 00:36:40下载
- 积分:1
-
har
矩形件排样,用bl算法实现,具有一定的参考价值,(Rectangular part layout is realized by bl algorithm, which has certain reference value.)
- 2020-11-13 16:49:42下载
- 积分:1
-
K-means
经典的K均值聚类,源码加利用三维高斯简单数据的实现对三类数据的聚类(Achieve the effect of classical K-means clustering, plus simple data)
- 2015-08-19 11:23:30下载
- 积分:1
-
Otsu image processing
利用大津算法对图片进行处理,得到满意的处理效果。(The image is processed by Otsu algorithm and satisfactory results are obtained.)
- 2019-04-12 15:45:15下载
- 积分:1
-
MSDfenbu
本代码可以实现统计彩色图像RGB三个通道内的交流分量,通过对比确定,图像是否经过高斯模糊篡改。(This code can realize statistical color image RGB three channels in the ac component, by comparing the sure, whether image through gaussian blur manipulation.)
- 2012-09-26 22:26:30下载
- 积分:1
-
huiduhua
基于MATLAB对输入图像的进行灰度化处理(Grayscale processing of the input image based on MATLAB)
- 2013-03-12 12:48:40下载
- 积分:1
-
Matrix
说明: 求矩阵的特征值和特征向量,使用c语言编程(Matrix eigenvalues and eigenvectors, c language programming)
- 2011-03-07 12:51:59下载
- 积分:1
-
jiyuzuixiaoerchengfagaijindesuijituoyuanjiance
为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法.
该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选
取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新
拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表
明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性,
同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed
to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2
lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three
windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge
whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of
ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced
to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images
containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he
improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)
- 2020-11-01 11:19:55下载
- 积分:1