TESTING GLOBAL HISTOGRAM EQUALIZATION AND UNSHARP MASK ALGO-RITHMS FOR PROCESSING CONVENTIONAL CHEST X-RAY IMAGES

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MOHAMMADI A.; AGHAZADEH J.; GHATE A.A.; MOOSAVI TOOMATARI S.B.; SE PEHRVAND N.; MOOSAVI TOOMATARI S.E.; MOHAMMAD GHASEMI RAD M.

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Journal: Shiraz E-Medical Journal Year:2011 | Volume:12 | Issue:4 Page(s): 172-178

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Title

TESTING GLOBAL HISTOGRAM EQUALIZATION AND UNSHARP MASK ALGO-RITHMS FOR PROCESSING CONVENTIONAL CHEST X-RAY IMAGES

Author(s)

Keywords

IMAGE PROCESSING

ENHANCEMENT

CHEST

CONVENTIONAL

RADIOGRAPHY

Abstract

Introduction: Imaging methods are progressing in a rapidly manner, but the problem which we, as the health providers always encounter with is the expensive costs of different devices and our limited budget to provide them.Aims: The aim of this study is to evaluate the usefulness of Histogram Equalization (HE) and Unsharp Mask (UM) on the CONVENTIONAL CXR images.Methods and Material: In Urmia University of Medical Sciences, we designed a windows-based computer program that contains histogram equalization (HE), unsharp mask (UM) and com-bination of HE and UM algorithms with adjusted parameters to process CONVENTIONAL CHEST x-ray (CXR) images. Two series of CXR images including 49 images without major pulmonary disorder and 45 images with pulmonary parenchymal disorders were selected. After convert-ing them to digital format, images were processed with HE, UM and combination of HE and UM techniques. In each series, original and processed images were saved in 4 databases. Two board-certified general radiologists (with 6 and 5 years experience) analyzed images. Saved images were displayed to radiologists randomly and separately. Quality of each image was saved as a scale from 1 (very low quality) to 5 (excellent). We used a variance-based statistical technique to analyze quality.Statistical analysis used: To compare the quality of each algorithm (GHE, UM and combina-tion of GHE and UM), a variance-based statistical analysis was done.Results: In the first series images, HE and combination of HE and UM algorithms increased quality of images, but UM technique was not suitable, solely. Also, all three techniques in-creased quality of second series images.Conclusions: The use of digital IMAGE PROCESSING algorithms such as HE or UM on conven-tional CXR images can increase quality of images.

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APA: Copy

MOHAMMADI, A., AGHAZADEH, J., GHATE, A.A., MOOSAVI TOOMATARI, S.B., SE PEHRVAND, N., MOOSAVI TOOMATARI, S.E., & MOHAMMAD GHASEMI RAD, M.. (2011). TESTING GLOBAL HISTOGRAM EQUALIZATION AND UNSHARP MASK ALGO-RITHMS FOR PROCESSING CONVENTIONAL CHEST X-RAY IMAGES. SHIRAZ E MEDICAL JOURNAL, 12(4), 172-178. SID. https://sid.ir/paper/299597/en

Vancouver: Copy

MOHAMMADI A., AGHAZADEH J., GHATE A.A., MOOSAVI TOOMATARI S.B., SE PEHRVAND N., MOOSAVI TOOMATARI S.E., MOHAMMAD GHASEMI RAD M.. TESTING GLOBAL HISTOGRAM EQUALIZATION AND UNSHARP MASK ALGO-RITHMS FOR PROCESSING CONVENTIONAL CHEST X-RAY IMAGES. SHIRAZ E MEDICAL JOURNAL[Internet]. 2011;12(4):172-178. Available from: https://sid.ir/paper/299597/en

IEEE: Copy

A. MOHAMMADI, J. AGHAZADEH, A.A. GHATE, S.B. MOOSAVI TOOMATARI, N. SE PEHRVAND, S.E. MOOSAVI TOOMATARI, and M. MOHAMMAD GHASEMI RAD, “TESTING GLOBAL HISTOGRAM EQUALIZATION AND UNSHARP MASK ALGO-RITHMS FOR PROCESSING CONVENTIONAL CHEST X-RAY IMAGES,” SHIRAZ E MEDICAL JOURNAL, vol. 12, no. 4, pp. 172–178, 2011, [Online]. Available: https://sid.ir/paper/299597/en

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