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aa
说明: 例子群优化的一个的简单小程序,是利用matlab写的。(Swarm optimization example of a simple small program, was written by matlab.)
- 2015-01-14 10:59:38下载
- 积分:1
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lisanxinhaofuliyebianhuan
离散傅立叶变换(DFT)及其反变换的实现,有限长序列的循环移位、循环卷积(Discrete Fourier Transform (DFT) and its inverse transform of the realization of the cyclic shift sequence of finite length, circular convolution)
- 2010-01-10 15:58:56下载
- 积分:1
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bianyuanjiance
MATLAB边缘检测程序,在用MATLAB进行图像处理时非常有用!(MATLAB edge detection procedure, image processing with MATLAB is useful!)
- 2010-05-24 09:21:25下载
- 积分:1
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devrygtion
用MATLAB编写的混沌序列图像加密程序,加密密钥跟解密密钥(MATLAB prepared by the chaotic sequence image encryption program, encryption key and decryption key)
- 2017-08-13 20:36:28下载
- 积分:1
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huatushili
MATLAB画图 这个纯属美术娱乐和分享(MATLAB painting heart diagram this is purely art entertainment and sharing)
- 2012-05-23 13:13:44下载
- 积分:1
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Intelligent_Algorithm
搜集了几种人工只能算法,基于Matlab平台编写,包括聚类、统计稀疏、最小范数法、DOA、投影追踪、稀疏贝叶斯等(Several artificial algorithms are collected and compiled on the platform of matlab, including clustering, statistical sparseness, minimum norm method, DOA, projection tracking, sparse Bayesian, etc.)
- 2019-06-15 16:52:47下载
- 积分:1
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BER_Estimation
Generalized program for calculation of BER for various wireless system
- 2010-11-12 23:56:08下载
- 积分:1
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LocErrorWSN
Finding localization error for wireless sensor network by Matlab
- 2010-12-12 16:27:33下载
- 积分:1
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imgrayscaling
matlab 实现图像 的缩小放大 (Enlarge Image narrowing matlab)
- 2011-05-27 15:11:12下载
- 积分:1
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sift
1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出,2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式,对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法,在尺度空间寻找极值点,提取位置,尺度,旋转不变量。
3 SIFT算法的主要特点:
a) SIFT特征是图像的局部特征,其对旋转、尺度缩放、亮度变化保持不变性,对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好,信息量丰富,适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性,即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性,经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性,可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤:
1) 检测尺度空间极值点
2) 精确定位极值点
3) 为每个关键点指定方向参数
4) 关键点描述子的生成
本包内容为sift算法matlab源码(1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe)
- 2012-05-25 15:31:16下载
- 积分:1