© The Institution of Engineering and Technology
Contrast measurements become of increasing importance in digital imaging, where region of interest differences can be effectively identified, processed and segmented. The image contrast among different structures varies with the material properties, material composition and geometrical parameters, and it is difficult to be determined only from its physical, electrical or optical parameters. The novelty of this study consists in fusing statistical analysis with polarimetric principles. As a result, quantification of image contrast in terms of Stokes parameters together with the modelling of intensity distribution for the corresponding target areas can be proved a powerful tool for analysing the different properties of operational modalities and/or materials depicted in digital images. By fusing the above concepts, the authors explored the intrinsic potential of an efficient molecular imaging technique aimed at increasing the optical contrast of a structure surrounded by a scattering medium.
References
-
-
1)
-
T. Moon
.
The expectation-maximization algorithm.
IEEE Signal. Process. Mag.
,
6 ,
47 -
60
-
2)
-
A. Papoulis
.
(1991)
Probability, random variables and stochastic processes.
-
3)
-
R.A. Lewis ,
K.D. Rogers ,
C.J. Hall
.
Breast cancer diagnosis using scattered X-rays.
J. Synchrotron Radiat.
,
5 ,
348 -
352
-
4)
-
D.A.-C. Cheng ,
X. Jiang ,
A. Schmidt-Truckass ,
P. Perner ,
O. Salvetti
.
(2007)
Image segmentation using histogram fitting and spatial information’, MDA 2006/2007, LNAI 4826.
-
5)
-
M. Born ,
E. Wolf
.
(1975)
Principles of optics.
-
6)
-
M. Felton ,
K.P. Gurton ,
D. Ligon ,
A. Raglin
.
Discrimination of objects within polarimetric imagery using principal component and cluster analysis.
-
7)
-
G. Giakos ,
K. Valluru ,
K. Adya
.
Stokes parameters imaging of multi-index of refraction biological phantoms utilizing optically active molecular contrast agents.
Meas. Sci. Technol., Spec. Issue Imaging Syst. Tech.
-
8)
-
J. Zhang ,
T. Tan
.
Brief review of invariant texture analysis methods.
Pattern Recognit.
,
3 ,
735 -
747
-
9)
-
Giakos, G.C., Paturi, S., Atreya, S.: `New pathways towards the enhancement of the image quality', IEEE IMTC Technical Conf., 1–3 May 2007, Warsaw, Poland.
-
10)
-
Giakos, G.C.: `Novel biomolecular nanophotonic devices, sensors, photonic nanocrystals and biochips: advances in medical diagnostics, environmental and defense', IEEE Int. Workshop on Imaging Systems and Techniques – IST 2007, 4–5 May 2007, Krakow, Poland.
-
11)
-
Giakos, G.C., Adya, V., Valluru, K.: `Molecular imaging of tissue with high-contrast multispectral photosensitizing polarimetric imaging techniques', 2009 IEEE Int. Workshop on Imaging Systems and Techniques, (IST ’09), 11–12 May 2009, Shenzhen, China, p. 63–66.
-
12)
-
G.C. Giakos
.
Multifusion multispectral lightwave polarimetric detection principles and systems.
IEEE Trans. Instrum. Meas.
,
6 ,
1904 -
1912
-
13)
-
X. Zhuang ,
T. Wang ,
P. Zhang
.
A highly robust estimator through partially likelihood function modeling and its application in computer vision.
IEEE Trans. Pattern Anal. Mach. Intell.
,
1 ,
19 -
35
-
14)
-
J.S. Baba ,
J.R. Chung ,
A.H. DeLaughter ,
B.D. Cameron ,
G.L. Cote
.
Development and calibration of an automated Mueller matrix polarization imaging system.
J. Biomed. Opt.
,
3 ,
341 -
349
-
15)
-
Giakos, G.C., Atreya Paturi, S., Valluru, K.: `Optical active molecules used as molecular contrast agents for enhanced imaging', Proc. IMTC 2008 – IEEE Int. Instrumentation and Measurement Technology Conf. Victoria, 12–15 May 2008, Vancouver Island, Canada, p. 1809–1813.
-
16)
-
V. Tuchin
.
(2002)
Handbook of optical biomedical diagnostics.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2009.0315
Related content
content/journals/10.1049/iet-ipr.2009.0315
pub_keyword,iet_inspecKeyword,pub_concept
6
6