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Trainable COSFIRE filters for curvilinear structure delineation in images
Version 1.4.0.0
Nicola StrisciuglioB-COSFIRE filters detect line at different orientations by combining the responses of DoG filters.
We propose a filter that selectively responds to vessels and that we call B-COSFIRE with B standing for bar which is an abstraction for a vessel. It is based on the existing COSFIRE (Combination Of
applyCOSFIRE(inputImage, operatorlist)
- Delineation of blood vessels in retinal images based on combination of BCOSFIRE filters responses.
showCOSFIREstructure(operator)
- Ellipse adds ellipses to the current plot
maximaPoints(inputImage,output,params,show)
- Detect local maxima points
getDoG(img,sigma, onoff, sigmaRatio, width, threshold)
- create Difference of Gaussian Kernel
INRIAImages()
- Detection and segmentation of elongated structures in images
thinning(matrix, oriensMatrix, method)
- VERSION 27/02/05
hysthresh(im, T1, T2)
- HYSTHRESH - Hysteresis thresholding
inhibition(matrix, inhibterm, inhibkernel, alpha)
- VERSION 21/03/04
SystemConfig
- VERSION 09/09/2014
evalperformance(contourimage, desiredoutput, invert, perf, mask)
- VERSION 01/08/04
edgedetectiongui(varargin)
- VERSION 05/08/2004
facilitation(matrix, facilterm, sigma, beta, f1, f2, orientation, power)
- VERSION 21/03/04
iterator
- VERSION 30/04/04
BeforeUsing( )
- Delineation of blood vessels in retinal images based on combination of BCOSFIRE filters responses.
rdir(rootdir,varargin)
- Lists the files in a directory and its sub directories.
calc_viewimage(matrices, dispcomb, theta)
- VERSION 14/05/04
calc_inhibfacil(matrices, inhibMethod, supInhib, sigma, alpha, k1, k2, facilMethod, beta, f1, f2, orientations, power)
- VERSION 21/03/04
BCOSFIRE_media15(image, filter1, filter2, preprocessthresh)
- Delineation of blood vessels in retinal images based on combination of BCOSFIRE filters responses.
filterkernelpower_onscreen(img, lamda, sigma, theta, phi, gamma, bandwidth, invertOutput)
- VERSION 14/06/04
inhibkernel_onscreen(img, sigma, k1, k2, perc, invertOutput)
- VERSION 14/06/04
Trainable COSFIRE filters for keypoint detection and pattern recognition
Version 1.11
George AzzopardiA COSFIRE filter detects features or patterns of interest, e.g. traffic signs in complex scenes.
A COSFIRE filter is automatically configured to be selective for a local contour pattern specified by a single example. The configuration comprises selecting given channels of a bank of Gabor filters
applyCOSFIRE(inputImage,operator)
- Apply the given COSFIRE operator to the the inputImage
configureCOSFIRE(prototypePattern,keypoint,params)
- Configure a COSFIRE operator for the pattern around the given keypoint in
COSFIRE_Application(example)
- Keypoint detection by a COSFIRE filter
viewCOSFIREstructure(operator)
- Visualize the structure of the given COSFIRE operator. The orientations
ellipse(ra,rb,ang,x0,y0,C,Nb)
- Ellipse adds ellipses to the current plot
Parameters(type)
- VERSION 28/05/2012
gaussian(stdx,stdy,theta,dim,centre,X,Y)
- Create a Gaussian 2D map with given standard deviations centered around
maxblur(inputImage,sigma)
- For a given location in the inputImage we weight the neighbourhood with a
maximaPoints(inputImage,output,mindistance,show)
- Detect local maxima points
ParametersSS
- VERSION 28/05/2012
ParametersTS
- VERSION 28/05/2012
getGaborResponse(img,params,lambdalist,thetalist)
- Compute the response of a bank of Gabor filters for given lambda and
thinning(matrix, oriensMatrix, method)
- VERSION 27/02/05
hysthresh(im, T1, T2)
- HYSTHRESH - Hysteresis thresholding
facilitation(matrix, facilterm, sigma, beta, f1, f2, orientation, power)
- VERSION 21/03/04
iterator
- VERSION 30/04/04
inhibition(matrix, inhibterm, inhibkernel, alpha)
- VERSION 21/03/04
edgedetectiongui(varargin)
- VERSION 05/08/2004
Gabor(img, lambda, aspectratio, bandwidth, orientation, shift, halfwave, supPhases, inhibition, fastmode, thinning)
- Get the Gabor filter response for the given img and for the given
filterkernelpower_onscreen(img, lamda, sigma, theta, phi, gamma, bandwidth, invertOutput)
- VERSION 14/06/04
calc_inhibfacil(matrices, inhibMethod, supInhib, sigma, alpha, k1, k2, facilMethod, beta, f1, f2, orientations, power)
- VERSION 21/03/04
filterkernel_onscreen(img, lamda, sigma, theta, phi, gamma, bandwidth, invertOutput)
- VERSION 14/06/04
calcPowerspectrum(lambda, sigma, theta, phi, gamma, bandwidth, img)
- VERSION 07/05/04
inhibkernel_onscreen(img, sigma, k1, k2, perc, invertOutput)
- VERSION 14/06/04
calc_viewimage(matrices, dispcomb, theta)
- VERSION 14/05/04
gaborkernel2d(lambda, sigma, theta, phi, gamma, bandwidth)
- VERSION 2004-04-05
gaussian2d(x, y, sigma)
- VERSION 5/1/04
facilitationkernel2d(sigma, f1, f2, orientation, power)
- VERSION 21/03/04
This MATLAB code allows you to perform gender recognition from face images for a given dataset.
Gender recognition from face images is an important application in the fields of security, retail advertising and marketing. We propose a novel descriptor based on COSFIRE filters for gender
applyCOSFIRE(inputImage,operator,tuple)
- Apply the given COSFIRE operator to the the inputImage
configureCOSFIRE(prototypePattern,keypoint,params)
- Configure a COSFIRE operator for the pattern around the given keypoint in
Gender_recognition_with_COSFIRE(noperatorspergender, dataFolder, doFaceDetection, resizeWidth)
- Gender recognition from face images with trainable COSFIRE filters
viewCOSFIREstructure(operator)
- Visualize the structure of the given COSFIRE operator. The orientations
ellipse(ra,rb,ang,x0,y0,C,Nb)
- Ellipse adds ellipses to the current plot
gaussian(stdx,stdy,theta,dim,centre,X,Y)
- Create a Gaussian 2D map with given standard deviations centered around
maxblur(inputImage,sigma)
- For a given location in the inputImage we weight the neighbourhood with a
computeTuples(inputImage,operator)
- First, populate a set of all the tuples produced by reflecting, rotating
maximaPoints(inputImage,output,mindistance,show)
- Detect local maxima points
ParametersGender
- VERSION 28/05/2012
getGaborResponse(img,params,lambdalist,thetalist)
- Compute the response of a bank of Gabor filters for given lambda and
getCOSFIREoperators(outdir,dataset,noperators)
- Configure COSFIRE filters using male and female training face images
configureCOSFIREfilters(imageset,noperators,noperatorsperface)
- Configures a list of COSFIRE filters by randomly selected regions from
getCOSFIREdescriptor(imageset,operatorlist)
- Create a COSFIRE descriptor using a spatial pyramid of two levels.
Genetic algorithm-based optimization for COSFIRE filters with application to object recognition
Version 1.1.0.0
Laura Fernandez RoblesIncreasing generalization ability of COSFIRE filters by optimizing the selection of contour features
The recently proposed trainable COSFIRE filters are highly effective in a wide range of computer vision applications, including object recognition, image classification, contour detection and retinal
viewCOSFIREstructure(operator)
- Visualize the structure of the given COSFIRE operator. The orientations
edgedetectiongui(varargin)
- VERSION 05/08/2004
inhibition(matrix, inhibterm, inhibkernel, alpha)
- VERSION 21/03/04
setup
- First compile the relevant c functions
inhibkernel_onscreen(img, sigma, k1, k2, perc, invertOutput)
- VERSION 14/06/04
gaussian2d(x, y, sigma)
- VERSION 5/1/04
facilitationkernel2d(sigma, f1, f2, orientation, power)
- VERSION 21/03/04
gaborkernel2d(lambda, sigma, theta, phi, gamma, bandwidth)
- VERSION 2004-04-05
applyCOSFIRE(inputImage,operator,tuple)
- Apply the given COSFIRE operator to the the inputImage
configureCOSFIRE(prototypePattern,keypoint,params,mask)
- Configure a COSFIRE operator for the pattern around the given keypoint in
maxblur(inputImage,sigma)
- For a given location in the inputImage we weight the neighbourhood with a
Parameters(type)
- VERSION 28/05/2012
gaussian(stdx,stdy,theta,dim,centre,X,Y)
- Create a Gaussian 2D map with given standard deviations centered around
ellipse(ra,rb,ang,x0,y0,C,Nb)
- Ellipse adds ellipses to the current plot
ParametersTS
- VERSION 28/05/2012
ParametersSS
- VERSION 28/05/2012
computeTuples(inputImage,operator)
- First, populate a set of all the tuples produced by reflecting, rotating
maximaPoints(inputImage,output,mindistance,show)
- Detect local maxima points
getGaborResponse(img,params,lambdalist,thetalist)
- Compute the response of a bank of Gabor filters for given lambda and
facilitation(matrix, facilterm, sigma, beta, f1, f2, orientation, power)
- VERSION 21/03/04
iterator
- VERSION 30/04/04
Gabor(img, lambda, aspectratio, bandwidth, orientation, shift, halfwave, supPhases, inhibition, fastmode, thinning)
- Get the Gabor filter response for the given img and for the given
hysthresh(im, T1, T2)
- HYSTHRESH - Hysteresis thresholding
fsga(operator,trainingImages,trainingGroundTruth,distthresh,nextop,numExp,trate3)
- Genetic algorithm for the selection of the best subset of features
thinning(matrix, oriensMatrix, method)
- VERSION 27/02/05
calcPowerspectrum(lambda, sigma, theta, phi, gamma, bandwidth, img)
- VERSION 07/05/04
filterkernelpower_onscreen(img, lamda, sigma, theta, phi, gamma, bandwidth, invertOutput)
- VERSION 14/06/04
calc_inhibfacil(matrices, inhibMethod, supInhib, sigma, alpha, k1, k2, facilMethod, beta, f1, f2, orientations, power)
- VERSION 21/03/04
filterkernel_onscreen(img, lamda, sigma, theta, phi, gamma, bandwidth, invertOutput)
- VERSION 14/06/04
calc_viewimage(matrices, dispcomb, theta)
- VERSION 14/05/04
Color-blob-based COSFIRE filters for Object Recognition
Color-blob-based COSFIRE filters for object recognition by Baris Gecer, George Azzopardi, Nicolai Petkov This is the code required to run the Color-blob-based COSFIRE filters, the codes are described
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