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The authors present an automated system for feature recognition in digital images. Morphometric landmarks are points that can be defined in all specimens and located precisely. They are widely used in shape analysis and a typical shape analysis study involves several hundred digital images. Presently, the extraction of landmarks is usually done manually and the process of identifying the landmarks is an important and labour-intensive part of any such analysis. This process is time-consuming, and quite often the research questions are dependent on the duration of obtaining these data. The authors show that a single training image with its landmark co-ordinates is enough to independently estimate the landmarks of any individual within a particular data set. The reliability and accuracy of the method can be further enhanced by using multiple training images. The precision, repeatability and robustness of the algorithm have been evaluated. It is shown in this study that the method is sufficiently accurate to replace the manual identification of landmarks. The generic nature and intrinsic capability of the feature recognition process enables this method to be easily incorporated into other recognition tasks.
References
-
-
1)
-
Palaniswamy, S.: `Automatic identification of landmarks in digital images of ', 2008, PhD, The University of Manchester, UK.
-
2)
-
J.P. Dujardin ,
C.B. Beard ,
R. Ryckman
.
The relevance of wing geometry in entomological surveillance of triatominae, vectors of chagas disease.
Infect. Genet. Evol.
,
161 -
167
-
3)
-
N.A. Thacker ,
P.A. Riocreux ,
R.B. Yates
.
Assessing the completeness properties of pairwise geometric histograms.
Image Vis. Comput.
,
5 ,
423 -
429
-
4)
-
J.M. Becerra ,
A.G. Valdecasas
.
Landmark superimposition for taxonomic identification.
Biol. J. Linnean Soc.
,
267 -
274
-
5)
-
I.L. Dryden ,
K.V. Mardia
.
(1998)
Statistical shape analysis.
-
6)
-
A.S. Gilchrist ,
R.V.R. Azevedo ,
L. Partridge ,
P. O'Higgins
.
Adaptation and constraint in the evolution of drosophila melanogaster wing shape.
Evolution and Development
,
2 ,
114 -
124
-
7)
-
F.L. Bookstein
.
(1991)
Morphometric tools for landmark data: geometry and biology.
-
8)
-
C.P. Klingenberg ,
L.J. Leamy ,
J.M. Cheverud
.
Integration and modularity of quantitative trait locus effects on geometric shape in the mouse mandible.
Genetics
,
1909 -
1921
-
9)
-
C.P. Klingenberg ,
A.V. Badyaev ,
S.M. Sowry ,
N.J. Beckwith
.
Inferring developmental modularity from morphological integration: analysis of individual variation and asymmetry in bumblebee wings.
Amer. Natural.
,
11 -
23
-
10)
-
Evans, A.C., Thacker, N.A., Mayhew, J.E.W.: `Pairwise representations of shape', Proc. Int. Conf. on Computer Vision and Pattern Recognition, 1992.
-
11)
-
Tharavy, D.: Personal communication. Paris National Museum of Natural History, 2007.
-
12)
-
Palaniswamy, S., Thacker, N.A., Klingenberg, C.P.: `Automatic identification of morphometric landmarks in digital images', Proc. British Machine Vision Conf., 2007, 2, p. 870–879.
-
13)
-
Ashbrook, A.P.: `Pairwise geometric histograms for object recognition: developments and analysis', 1998, PhD, The University of Sheffield, UK.
-
14)
-
Evans, A.C., Thacker, N.A., Mayhew, J.E.W.: `The use of geometric histograms for model based object recognition', Proc. Fourth British Machine Vision Conf., 1993, p. 429–438.
-
15)
-
C.P. Klingenberg ,
L.J. Leamy ,
E.J. Routman ,
J.M. Cheverud
.
Genetic architecture of mandible shape in mice: effects of quantitative trait loci analyzed by geometric morphometrics.
Genetics
,
785 -
802
-
16)
-
Riocreux, P.A., Thacker, N.A., Yates, R.B.: `An analysis of pairwise geometric histograms for view-based object recognition', Proc. British Machine Vision Conf., 1994.
-
17)
-
S. Palaniswamy ,
N.A. Thacker ,
C.P. Klingenberg
.
A statistical approach to feature detection in digital images.
Interdisciplinary Statistics Bioinformatics (LASR 2006)
,
146 -
149
-
18)
-
J. Canny
.
A computational approach to edge detection.
IEEE Trans. Pattern Anal. Mach. Intell.
,
6 ,
679 -
698
-
19)
-
C.P. Klingenberg ,
L.J. Leamy
.
Quantitative genetics of geometric shape in the mouse mandible.
Evolution
,
2342 -
2352
-
20)
-
Evans, A.C.: `Geometric feature distributions for shape representation and recognition', 1994, PhD, The University of Sheffield, UK.
-
21)
-
E. Zimmerman ,
A. Palsson ,
G. Gibson
.
Quantitative trait loci affecting components of wing shape in drosophila melanogaster.
Genetics
,
671 -
683
-
22)
-
C.P. Klingenberg
.
Morphometrics and the role of the phenotype in studies of the evolution of developmental mechanisms.
Gene
,
3 -
10
-
23)
-
Ashbrook, A.P., Thacker, N.A., Rockett, P.I., Brown, C.I.: `Robust recognition of scaled shapes using pairwise geometric histograms', Proc. British Machine Vision Conf., 1995, pp. 503–512.
-
24)
-
D. Houle ,
J.G. Mezey ,
P. Galpern ,
A. Carter
.
Automated measurement of drosophila wings.
BMC Evol. Biol.
,
25 ,
1471 -
2148
-
25)
-
Ashbrook, A.P., Rockett, P.I., Thacker, N.A.: `Multiple shape recognition using pairwise geometric histogram based algortihms', Proc. IEE Image Processing, 1995.
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