Medical Image Colorization for Better Visualization and Segmentation [chapter]

Muhammad Usman Ghani Khan, Yoshihiko Gotoh, Nudrat Nida
2017 Communications in Computer and Information Science  
Medical images contain precious anatomical information for clinical procedures. Improved understanding of medical modality may contribute significantly in arena of medical image analysis. This paper investigates enhancement of monochromatic medical modality into colorized images. Improving the contrast of anatomical structures facilitates precise segmentation. The proposed framework starts with preprocessing to remove noise and improve edge information. Then colour information is embedded to
more » ... h pixel of a subject image. A resulting image has a potential to portray better anatomical information than a conventional monochromatic image. To evaluate the performance of colorized medical modality, the structural similarity index and the peak signal to noise ratio are computed. Supremacy of proposed colorization is validated by segmentation experiments and compared with greyscale monochromatic images.
doi:10.1007/978-3-319-60964-5_50 fatcat:h5uoajazcrgd7m5xopat6i62ui