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Graphic User Interface for Extreme Level Eliminating Adaptive Histogram Equalization

Kok Swee Sim, Desmond Teck Kiang Kho, Mohsen Esmaeilinia, Yang Lee, and Chung Sheng Ee
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia

Abstract—In this paper, a Graphical User Interface (GUI) for Extreme Level Eliminating Adaptive Histogram Equalization (ELEAHE) is developed in this paper. This new developed GUI is used to visualize and emphasize the hypo-dense area in Computed Tomography (CT) brain images by applying ELEAHE. In the GUI, the original image and the processed image are displayed side by side when the CT images of brain are loaded. Window center and window width setting is set to default values and both of them are adjustable. Besides that, expert diagnoses on the locations of brain lesions are also provided and marked for each brain images for reference purpose. This developed GUI shows great potential to improve the manual examination and analysis of CT brain images by connecting the user with image processing algorithm. The developed application is suggested as a practical education application for medical students and fresh medical doctors in brain lesions analysis using CT images.

Index Terms—ELEAHE, local HE, medical image processing

Cite: Kok Swee Sim, Desmond Teck Kiang Kho, Mohsen Esmaeilinia, Yang Lee, and Chung Sheng Ee, "Graphic User Interface for Extreme Level Eliminating Adaptive Histogram Equalization," Journal of Image and Graphics, Vol. 4, No. 1, pp. 42-45, June 2016. doi: 10.18178/joig.4.1.42-45

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