Medical Image Processing of Thermal Images in Light of Applied Color Palettes
Shazia Shaikh1, Nazneen Akhter2, Ramesh Manzae3
1Shazia Shaikh*, Dept. of C.S. & I.T., Dr. B.A.M. University, Aurangabad., India.
2Nazneen Akhter, Dept. of C.S., Maulana Azad College of Arts, Science and Commerce, Aurangabad, India.
3Ramesh Manza, *, Dept. of C.S. & I.T., Dr. B.A.M. University, Aurangabad., India. Email: *, Dept. of C.S. & I.T., Dr. B.A.M. University, Aurangabad., India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1520-1524 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8148088619/2019©BEIESP | DOI: 10.35940/ijeat.F8148.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The choice of colour palette in image processing of medical thermal images plays a crucial role and it essentially affects the interpretation and visualization of the thermal image. Even though it has remained a subject of criticism due to the difference of visualization as compared to the grayscale colour palette, the rainbow palette has been widely applied in medical image processing of thermal images. In this work, the rainbow colour palette and the grayscale colour palette were applied on the medical thermal images representing skin conditions and a comparative study was performed to assess their applicability and performance in the methodology applied. It is observed that both the palettes are suitable at different stages as part of methodology to study medical thermal images. Using the global thresholding techniques for foreground detection, the grayscale palette was found useful for image segmentation into background and foreground while the rainbow palette is effective when colour-based clustering is performed to segregate the object of interest into varying temperature zones.
Keywords: Thermal image representation, false colour palette, pseudo colour palette, medical thermography, thermal image processing.