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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)
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dsp
实现功能
1) 在用户界面设置录音时长并实时录音
2) 调节放音幅度、播放原声并进行时域、频域绘图
3) 对收集的声音进行倒放处理并播放
4) 对收集声音进行回声处理并播放,比对时域波形
5) 对收集声音进行回响处理并播放,比对时域波形
6) 对经过回声处理的声音进行回音消除并比对时域波形
7) 采用自适应滤波器消除采集声音中的环境噪音
8) 设计相应的滤波器组成均衡器对收集的声音进行处理并播放
9) 男女声识别
10) 设计参数可调的滤波器对采集的声音进行处理
(1) in the user interface to set the recording length and real-time recording
2) to adjust sound, played acoustic amplitude and time domain, frequency domain mapping
3) to upend the collection of sound and play
4) to collect sound echo processing and playback, than in the time domain waveform
5) to collect sound echoes, processing and playback, than in the time domain waveform
6) to echo and treated with echo s voice than in the time domain waveform
7) using adaptive filter to eliminate ambient noise in acquisition voice
8) to design the corresponding filter to process the voice of equalizer to collect and display
9) NanNvSheng recognition
10) tunable filter design parameters for voice processing
)
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用matlab设计的概率神经网络,内附演示程序(using Matlab design of probabilistic neural network, enclosing Demonstration Program)
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用matlab实现了指纹的预处理以及特征点的提取。(Using matlab fingerprint preprocessing and feature point extraction.)
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DFSM
用于计算谱相关函数的频域平滑算法,可改参数,改输入信号类型(calculate spectral correlation function by using frequency smoothing Algorithm, you can change the parameters, and the type of input signal )
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Dicom2Nrrd
offer a functions which takes a DICOM medical image as input and transform it to NRRD medical image. The user must set the parameters of NRRD in the code.
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MusicULA
DOA estimation using MUSIC on a uniform Linear array
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junhenhua
对图像进行预处理,主要的预处理是通过Matlab软件对图像进行直方图均衡化、增加对比度等操作(Nogata will increase the degree of balancing operation, etc.)
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Gomory
求解整数规划的问题可以解决一般的整数规划模型的解而且效率比较高!在matlab下调试通过(Solving integer programming problems can be solved in the general solution of integer programming model and more efficient! Adopted under the debugger in matlab)
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