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Code covered by the BSD License

Highlights from
feature-based retinal image registration

featurematch(featuremat1, fea... This function matches the best point in the feature matrix
findangle(boundvec, startidx) This function computes the bifurcation angle
point_angle(bw, seed, R, star... This function computes the angle of seed from the start point
point_anglevec(bw, seed, R) This function generate the anglevector that surrounds the seed
point_neighbors(bw, pt, R, se... This function search the linked neighbor of the seed
points_feature(bw, radius); This function call subfunctions to generate the feature data
points_featureangle(bw, radiu... This function call subfunctions to generate the feature data
points_init(bw) This function initializes the feature points from the binary image
points_link(bw, ptcore, ptmar... This function links the current point and its neighbour points
points_select(bw, pt, R, Angl... This function selects the optimal bifurcation points in the binary image
points_show(bw, pt, R, TagBw) This function displays the detected points using a rectangular grid
points_showsome(bw, nodes, R) This function displays some points togther with its neigbours
points_transform(node, dim, s... This function extract the bifurcation coordinate from the node
verifymatch(linktable1, linkt... This funciton verify the correspondence and find the best matched pair
startup.m
testreg.m
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4.5 | 2 ratings Rate this file 39 Downloads (last 30 days) File Size: 1.86 MB File ID: #23015

feature-based retinal image registration

by Li CHEN

18 Feb 2009

feature point, retinal image , image registration, blood vessel

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Description

The bifurcation structure is composed of a master bifurcation point and its three connected neighbors. The characteristic vector of each bifurcation structure consists of the normalized branching angle and length, which is invariant against translation, rotation, scaling, and even modest distortion. This can greatly reduce the ill-posed nature of the matching process as long as the vasculature pattern can be segmented.

MATLAB release

MATLAB 7.6 (R2008a)

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Everyone's Tags	feture extraction, image processing, image registration
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Comments and Ratings (3)
30 Mar 2009	Diego Orlando
04 Apr 2009	jntu college	how to work with this code in matlab please provide me steps
28 Feb 2011	Dimitris	In this function points_transform one of the inputs is 'node'. Can you explain me what is that please?

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Tag Activity for this File
Tag	Applied By	Date/Time
image processing	Li CHEN	18 Feb 2009 12:52:49
image registration	Li CHEN	18 Feb 2009 12:52:49
feture extraction	Li CHEN	18 Feb 2009 12:52:49

Highlights from feature-based retinal image registration

feature-based retinal image registration

Highlights from
feature-based retinal image registration