Processing of microscope
images in medicine is one of the priority research areas. At the same time, the
processing of images of cytological preparations occupies a special place. This
is due to the fact that such studies allow for a comprehensive diagnosis of the
state of human health, identify and prevent the development of diseases in the
early stages. But this requires the results of processing the original images,
which provide additional information. To do this, we investigate the
possibility of using wavelet analysis in color models RGB and HSV. We showed
the importance of using the HSV model for more information. It is shown that
the procedure for changing the contrast in the HSV model is better than the
contrast change procedure in the RGB model when using wavelet analysis.
Cite this paper
Lyashenko, V. V. , Babker, A. M. and Lyubchenko, V. A. (2017). Wavelet Analysis of Cytological Preparations Image in Different Color Systems. Open Access Library Journal, 4, e3760. doi: http://dx.doi.org/10.4236/oalib.1103760.
H.C., van Zijl, W.H., Swanepoel, D., Hellstrom, S. and Laurent, C. (2016) Otitis Media Diagnosis for Developing Countries
Using Tympanic Membrane Image- Analysis. EBioMedicine,
5, 156-160. https://doi.org/10.1016/j.ebiom.2016.02.017
Saha, M., Agarwal, S., Arun, I.,
Ahmed, R., Chatterjee, S., Mitra, P. and Chakraborty, C. (2015) Histogram Based
Thresholding for Automated Nucleus Segmentation Using Breast Imprint Cytology.
In: Advancements of Medical
Springer India, 49-57. https://doi.org/10.1007/978-81-322-2256-9_5
V.V., Babker, A.M.A.A. and Kobylin,
O.A. (2016) The Methodology of Wavelet Analysis as a Tool for Cytology
Preparations Image Processing. Cukurova Medical Journal, 41, 453-463. https://doi.org/10.17826/cukmedj.237468
N. (1999) Image Processing with Complex Wavelets. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering
Sciences,357, 2543-2560. https://doi.org/10.1098/rsta.1999.0447
Lyashenko, V., Matarneh, R., Kobylin, O. and Putyatin, Y.
(2016) Contour Detection and Allocation for Cytological Images Using Wavelet
Analysis Methodology. International
Journal of Advance Research in Computer Science and Management Studies, 4,
Lyashenko, V., Matarneh, R. and Kobylin, O. (2016)
Contrast Modification as a Tool to Study the Structure of Blood Components. Journal
of Environmental Science, Computer
Science and Engineering & Technology, 5, 150-160.
D. and Meer, P. (1997) Robust Analysis of Feature Spaces: Color Image Segmentation.
Computer Society Conference on Computer Vision and Pattern Recognition, Santa Barbara, 17-19
June 1997, 750-755. https://doi.org/10.1109/cvpr.1997.609410
W., Shi, Y.Q. and Xuan, G. (2007) Identifying Computer Graphics Using HSV Color
Model and Statistical Moments of Characteristic Functions. IEEE International Conference on Multimedia and Expo, Beijing, 2-5 July 2007, 1123-1126. https://doi.org/10.1109/icme.2007.4284852