Color image enhancement of medical images using alpha-rooting and zonal alpha-rooting methods on 2D QDFT

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

doi:10.1117/12.2254889

10 March 2017 Color image enhancement of medical images using alpha-rooting and zonal alpha-rooting methods on 2D QDFT

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

Proceedings Volume 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment; 1013618 (2017) https://doi.org/10.1117/12.2254889
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

2-D quaternion discrete Fourier transform (2-D QDFT) is the Fourier transform applied to color images when the color images are considered in the quaternion space. The quaternion numbers are four dimensional hyper-complex numbers. Quaternion representation of color image allows us to see the color of the image as a single unit. In quaternion approach of color image enhancement, each color is seen as a vector. This permits us to see the merging effect of the color due to the combination of the primary colors. The color images are used to be processed by applying the respective algorithm onto each channels separately, and then, composing the color image from the processed channels. In this article, the alpha-rooting and zonal alpha-rooting methods are used with the 2-D QDFT. In the alpha-rooting method, the alpha-root of the transformed frequency values of the 2-D QDFT are determined before taking the inverse transform. In the zonal alpha-rooting method, the frequency spectrum of the 2-D QDFT is divided by different zones and the alpha-rooting is applied with different alpha values for different zones. The optimization of the choice of alpha values is done with the genetic algorithm. The visual perception of 3-D medical images is increased by changing the reference gray line.

Citation Download Citation

Artyom M. Grigoryan, Aparna John, and Sos S. Agaian "Color image enhancement of medical images using alpha-rooting and zonal alpha-rooting methods on 2D QDFT", Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 1013618 (10 March 2017); https://doi.org/10.1117/12.2254889

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