ENGLISH LANGUAGE TASK
JOURNAL PARAPHRASE
DIGITAL IMAGE
PROCESSING TECHNIQUES FOR THE DETECTION AND REMOVAL OF CRACKS IN DIGITIZED
DEWI RAHMAWATI
12650054
DEPARTMENT OF INFORMATICS
FACULTY SCIENCE AND TECHNOLOGY
ISLAMIC STATE UNIVERSITY OF MALANG
2014
DIGITAL
IMAGE PROCESSING TECHNIQUES FOR THE DETECTION AND REMOVAL OF CRACKS IN
DIGITIZED
Ioannis Giakoumis, Nikos Nikolaidis, Ioannis Pitas
Department of Informatics
Aristotle University of Thessaloniki
54124 Thessaloniki, Greece
tel/fax: +302310996304
e-mail:
fnikolaid,pitasg@zeus.csd.auth.gr
1.
A system that is capable of tracking and
interpolating cracks is presented in [1].
Paraphrase :
Digital
Image Processing is a system that can be used for tracking a line and interpolating
cracks (M. Barni, F. Bartolini, V. Cappellini - 2000 )
2.
A method for the detection of cracks
using multi-oriented Gabor filters is presented in [2].
Paraphrase :
A
linear filter used for edge detection called multi-oriented Gabor Filters is a
methods for discover a cracks of images (F. Abas, K. Martinez - 2002 )
3.
Crack detection and removal bears
certain similarities with methods proposed for the detection and removal of
scratches and other artifacts from motion picture films [3], [4], [5].
Paraphrase :
Steps
for detection and removal that use for repairing cracks have a resemblance with
step for repairing scratches and other artifacts from motion picture films (L.
Joyeux, O. Buisson, B. Besserer, S. Boukir - 1999 )
4.
Different approaches for interpolating
information in structured [6], [7], [8], [9], [10] and textured image areas
[11] have been developed
Paraphrase :
For
implied imformation in structured and textured image areas that have been
growth is needed a different approaches (
M. Bertalmio, G. Sapiro, V. Caselles, C. Ballester - 2000 )
5. A
technique that decomposes the image to textured and structured areas and uses
appropriate interpolation techniques depending on the area where the missing
information lies has also been proposed [12].
Paraphrase :
Precisely
technique for repaired a cracks in images by using separates image to textured
and structured areas and interpolation technique that depending on the area
where missing information lies has also been proposed. ( M. Bertalmio, L. Vese,
G. Sapiro, S. Osher – 2003 )
6.
The methodology is an extension of the
crack removal framework presented in [13].
Paraphrase :
A
methodology for the restoration of cracks on digitalized image is an expansion
from crack removal framework. (I. Giakoumis, I. Pitas - 1998. )
7.
A crack detection procedure based on the
so-called top-hat transform [14] is proposed in this paper.
Paraphrase :
Top-Hat
transform is an operation that extracts small elements and details from given
images which is to use for procedure based on crack detection ( F. Meyer – 1979
)
8. An
effective way to interpolate the cracks is to apply median or other order
statistics filters [15] in their neighborhood.
Paraphrase :
Crack
filling based on order statistics filters is effective way to interpolate the
cracks. (I. Pitas, A.N. Venetsanopoulos - 1990. )
9. This
separation can be achieved by classification using a Median Radial Basis
Function (MRBF) neural network, which is a robust, order statistics based,
variation of Radial Basis Function (RBF) networks [16].
Paraphrase :
Separation
of the cracks can be succesful by getting classification using a median radial
basis function (MRBF) neural network, which is a robust, order statistics
foundation and variation of Radial Basis Function (RBF) networks (A. G. Bors,
I. Pitas - 1996 )
10. RBFs
are two-layer feedforward neural networks [17], that model a mapping between a
set of input vectors and a set of outputs.
Paraphrase :
Radial
Basis Function (RBF) is model for mapping about a set of input vectors and a
set of outputs which is have a two layer feedforward neural networks. ( S.
Haykin, Neural Networks – 1999 )
Tidak ada komentar :
Posting Komentar