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Description: Bi-dimensional Gabor filter with DC component compensation
This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation:
G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)),
where:
Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2))
Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P)))
DC(F,S,P)=exp(-pi*(F/S)^2+j*P)
File Id: 13776 Average rating: 0.0
Size: 1 KB # of reviews: 0
Submitted: 2007-01-26 Downloads: 274
Subscribers: 0
Keywords: gabor filter
Stiven Schwanz Dias
-Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k * Gaussian (x, y, S) * (Sinusoid (x, y, F, W, P) - DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi * S * 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j * (2 * pi * F * (x * cos (W) y * sin (W)) P))) D C (F, S, P) = exp (-pi * (F / S) ^ 2 * P j) File Id : 13776 Average rating : 0.0 Size : # 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias
Platform: |
Size: 1298 |
Author: 石峰 |
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Description: Bi-dimensional Gabor filter with DC component compensation
This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation:
G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)),
where:
Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2))
Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P)))
DC(F,S,P)=exp(-pi*(F/S)^2+j*P)
File Id: 13776 Average rating: 0.0
Size: 1 KB # of reviews: 0
Submitted: 2007-01-26 Downloads: 274
Subscribers: 0
Keywords: gabor filter
Stiven Schwanz Dias
-Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias
Platform: |
Size: 1024 |
Author: 石峰 |
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Description: ％ Image_Filt Performs linear and nonlinear spatial filtering.
％ F = Image_Filt(G, TYPE, M, N, PARAMETER) performs spatial filtering
％ of image G using a TYPE filter of size M-by-N. Valid calls to
％ Image_Filt are as follows: - Image_Filt Performs linear and nonlinear spatial filtering. F = Image_Filt (G, TYPE, M, N, PARAMETER) performs spatial filtering of image G using a TYPE filter of size M-by-N. Valid calls to Image_Filt are as follows:
Platform: |
Size: 1024 |
Author: allen |
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Description: This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P.-This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P.
Platform: |
Size: 72704 |
Author: rajat singh |
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Description: 用纯的VB6.0实现折射波人工地震合成记录及F-K滤波（地球物理专业）-VB6.0 to achieve with pure synthetic seismic refraction records and FK filter (geophysics)
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Size: 654336 |
Author: 段誉 |
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Description: 无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf-In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di
Platform: |
Size: 38912 |
Author: gaofei |
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Description: PIC单片机的CCP功能
//220V的交流电源直接用电阻限流,经光耦隔离,形成脉冲送到CCP2,
//CCP2模块的捕捉功能,设置为每16个上升沿捕捉一次,相当于平均滤波,目的是为了减小误差
//TMR1计数的分频系数计算:假设电源为50Hz,即一个周期为20ms,16个周期为320ms
//320ms=320000us,单片机用4MHz晶振,指令周期为1us,设TMR1的分频系数为K:65536×K=320000
//得K=4.88,取K=8,即TMR1的预分频系数设为1:8
//电源频率计算,假设频率显示为2位小数,即频率值放大100倍,16次捕捉值为TTZ,
//则f=1000000×100/(TTZ×8/16)=200000000/TTZ-PIC microcontroller CCP function// 220V AC power directly limiting resistor, the optocoupler isolation, a pulse sent CCP2,// CCP2 module' s capture function, set to capture rising once every 16, equivalent to an average filter The purpose is to reduce the error// TMR1 counter division ratio calculation: Suppose power is 50Hz, ie a period of 20ms, 16 cycles of 320ms// 320ms = 320000us, microcontroller 4MHz crystal, the instruction cycle is 1us, setting TMR1 divider coefficient K: 65536K = 320000// get K = 4.88, take K = 8, ie the TMR1 prescaler is set to 1:8// power frequency, assuming that the frequency is displayed as two decimal that frequency value magnified 100 times, 16 times to capture value TTZ,// then f = 1000000100/(TTZ8/16) = 200000000/TTZ
Platform: |
Size: 17408 |
Author: XIA |
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Description: 地球物理地震学——基于FK域的波场分离，也可应用于滤波-FK domain wave field separation, can also be applied to filter
Platform: |
Size: 8192 |
Author: 法洲法依 |
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Description: 编程实现了F-K变换，可以用于地震数据二维视速度滤波-Programming the FK transform two-dimensional seismic data can be used to filter the apparent velocity
Platform: |
Size: 1024 |
Author: 张洪亮 |
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Description: anisotropic diffusion
input: image to be filtered
t: radio of search window
f: radio of similarity window
k: degree of filtering
sigma: noise standard deviation
Author: Jose Vicente Manjon Herrera & Antoni Buades
Date: 09-03-2006
Implementation of the Non local filter proposed for A. Buades, B. Coll and J.M. Morel in
A non-local algorithm for image denoising
-anisotropic diffusion
Platform: |
Size: 1024 |
Author: 彭静 |
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Description: 对井间地震数据或微地震数据进行f-k滤波处理(apply the FK filter to the well seismic or microseismic data)
Platform: |
Size: 1024 |
Author: 站着挨打 |
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