A novel image enhancement method of  3D medical images by transforming the 3D images to 2D grayscale images

Artyom M. Grigoryan; Aparna John; Sos S. Agaian

doi:10.1117/12.2304667

14 May 2018 A novel image enhancement method of 3D medical images by transforming the 3D images to 2D grayscale images

Artyom M. Grigoryan, Aparna John, Sos S. Agaian

Proceedings Volume 10668, Mobile Multimedia/Image Processing, Security, and Applications 2018; 106680Q (2018) https://doi.org/10.1117/12.2304667
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

The proposed method is a novel image enhancement for color medical images. In this method, the 3-D medical image is transformed first to the 2-D grayscale image and then the enhancement algorithms, either in frequency domain or spatial domain, are applied to the grayscale image. This paper describes the enhancement effects on the medical images by the proposed transformation model and then the enhancement by the alpha-rooting method, for the frequency domain algorithm, and the histogram equalization, for the spatial domain enhancement algorithm. The enhancement is quantitatively measured with respect to the metric which is called the color enhancement measure estimation (CEME). The proposed method is showing good CEME values as compared to the original images.

Citation Download Citation

Artyom M. Grigoryan, Aparna John, and Sos S. Agaian "A novel image enhancement method of 3D medical images by transforming the 3D images to 2D grayscale images", Proc. SPIE 10668, Mobile Multimedia/Image Processing, Security, and Applications 2018, 106680Q (14 May 2018); https://doi.org/10.1117/12.2304667

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