-
m
说明: 用Visual C++实现模糊图像恢复处理程序实例(Using Visual C++ fuzzy image restoration processing examples)
- 2009-10-17 20:48:58下载
- 积分:1
-
MATLABtoENVI
这个是用matlab编写的读取遥感图像envi的程序(This is prepared using matlab to read the procedures for remote sensing image envi)
- 2008-12-11 16:23:02下载
- 积分:1
-
MCtest
一种基于MC算法的医学图像三维重建,或许有用(MC algorithm based on three-dimensional reconstruction of medical images, perhaps useful)
- 2009-01-24 12:59:49下载
- 积分:1
-
junh
matlab下实现图像的灰度直方图绘制
以及图像的灰度均衡化处理(Matlab image histogram of the gray scale mapping and image processing gray balance)
- 2007-01-08 00:06:51下载
- 积分:1
-
hill_mark
使用山头(hill)标记法,对显著图寻找显著区域,(hill mark)
- 2015-10-11 10:25:12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
-
matlab.thresholding-master
在计算机视觉中,图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割;也就是说,将强度值低于阈值的所有像素设置为背景值,而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值,而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地,阈值处理从灰度图像开始,并输出二进制图像以清晰地描绘图像中的片段。在本实验中,我们开发了一种自适应阈值算法,并将其与更简单的算法进行了比较。 此外,我们还开发了逆运动学证明来将机械臂移动到给定的x,y,z坐标。这一证明涉及三种命名身份,并获得了对机械臂设计的更好理解。(Image threshold segmentation)
- 2019-04-14 15:41:02下载
- 积分:1
-
pzernike
说明: 伪Zernike矩特征提取,Zernike矩特征提取,供参考,很有用(Pseudo-Zernike moment feature extraction, Zernike moment feature extraction, for reference, very useful)
- 2008-10-16 19:41:20下载
- 积分:1
-
C#实现批量图片格式转换功能 源码
批量图片格式转换
- 2013-01-14下载
- 积分:1
-
fun pcnn
基于PCNN的特征提取,PCNN用于特征提取时,具体平移、旋转、尺度、扭曲等不变性,这正是许多年来基于内容的图像检索系统追求的目标,同时PCNN用于特征提取时,有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究,具有提取图像形状,纹理,边缘的属性。用PCNN能很好地对图像进行签名,将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications.)
- 2010-05-20 23:23:38下载
- 积分:1