Abstract
The enhancement techniques are employed in order to increase the contrast of an image. Generally, an image can be enhanced by spreading out the range of scene illumination. This procedure is called contrast stretching. Contrast stretching (often called normalization) is a simple image enhancement technique that attempts to improve the contrast in an image by ‘stretching’ the range of intensity values it contains to span a desired range of values, the full range of pixel values that the image type concerned allows. Contrast stretching changes the distribution and range of the digital numbers assigned to each pixel in an image. This is normally done to accent image details that may be difficult for the human viewer to observe. Our main goal in this paper is to apply a contrast enhancement technique to recover an image from blurred images, also improve image quality of it. Our technique consists of two steps, locally contrast stretching step and globally contrast stretching step to enhance Ziehl-Neelsen tissue section slide images.
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References
H. C. Andrews, “Monochrome digital image enhancement.” Applied Opt., vol. 15 no.2, pp. 495–503, 1976.
J. D. Armstrong, J. A. Sorenson, and J. A. Nelson, “Clinical evaluation of unsharp masking and slit scanning techniques in chest radiography,” Radiology, vol. 146, pp. 351–356. 1983.
M. L. Cocklin, A. R. Gourlay, P. H. Jackson et. “Digital processing of chest radiographs, “Itnuge Vision Cuniput.. vol. I, pp. 67–78, 1983.
A. R. Gourlay, P. H. Jackson et. “Digital processing of chest radiographs, “Itnuge Vision Cuniput.. vol. I, pp. 67–78, 1983.
E. L. Hall, Computer Image Processing and Recognition. New York: Academic, 1980.
M. Ishida, H. Kato, K. Doi. P. H. Frank, “Development of a new digital radiographic image processing system.” SPIE, vol. 347, pp. 42–48. 1982.
J. A. Sorenson, L. T. Niklason. and J. A. Nelson,”Photographic unsharp masking in chest radiography,” Invest. Radiology, vol. 16, pp. 529–530, 1981.
P. Sprawls, “Digital blurred mask sutraction enhancement of radiologic images,” Proc. SPIE, vol. 314, pp. 102–109, 1981.
D. J. Goodenough, “Assessment of image quality of diagnostic imaging systems,” in Medical Images: Formation. Perception and Measurement. in Proc. Seventh L. H. Gray Cotif., The Inst. Phys. New York: Wiley, 1976, pp. 263–276.
W. A. Kalender, “Digital scanned projection radiography: Optimization of image characteristics,” Radiology. vol. 149. pp. 299–303. 1983.
C. E. Metz. S. J. Starr, and L. B. Lusted, “Quantitative evaluation of visual detection performance in medicine: ROC analysis and determination of diagnostic benefit.” in Medicul Itncigrs: Formatiori, Perceprion and Measuremetit, in Proc. Srventh L. H. Gra: Cot7f..The Inst. Phys
J.S. Lee, Digital image enhancement and noise filtering by use of local statistics, IEEE Trans. Pattern Anal. Mach. Intell. 2 (1980) 165.
J.S. Lee, Refined Filtering of image noise using local statistics, Comput. Graphics Image Process. 15(4) (April 1981) 380–389.
P.M. Narendra, R.C. Fitch, Real-time adaptive contrast enhancement, IEEE Trans. Pattern Anal. Mach. Intell. 3(6) (November 1981) 655–661.
I. Attas, J. Louis, J. Belward, A variational approach to the radiometric enhancement of digital imagery, IEEE Trans. Image Process. 4(6) (June 1995) 845–849.
J. Rogowska, K. Preston, D. Sashin, “Evaluation of Digital Unsharp Masking and Local Contrast Stretching as Applied to Chest Radiographs,” IEEE Trans. Biomedical Engineering 35(10) (October 1988).
Pizer SM, Hemminger BM, Johnston, “Display of Two Dimensional Images”, in Image-Processing Techniques for Tumor Detection, edited by Strickland, 2002.
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Sahidan, S.I., Mashor, M.Y., Wahab, A.S.W., Salleh, Z., Ja’afar, H. (2008). Local and Global Contrast Stretching For Color Contrast Enhancement on Ziehl-Neelsen Tissue Section Slide Images. In: Abu Osman, N.A., Ibrahim, F., Wan Abas, W.A.B., Abdul Rahman, H.S., Ting, HN. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69139-6_146
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DOI: https://doi.org/10.1007/978-3-540-69139-6_146
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