Colorization using Desired Color for Medical Images
Selvapriya B1, Raghu B2
1Selvapriya B, Research Scholar, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Raghu B, Principal and Professor, Department of Computer Science and Engineering, SVS Group of Institutions, (Telangana), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 07 May 2019 | PP: 124-132 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1025376S19/2019©BEIESP
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© 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: Colorization is the terminology which describes a computerized process for adding colors to black and white movies, pictures or television programs. Colorization is the way of coloring a grayscale image or video which assigns luminance or intensity for red, green and blue channels. The general problem of adding chromatic values to gray scale image has no exact objective solution. The current approach that we use provides a method to minimize the amount of human work done during colorization. The medical images such as CT, MRI, X-ray and mammograms are mostly in black and white color so to get a better perception of images we are in need of coloring the images. Medical images should be clear such that the patient can be diagnosed and the treatment can be given accurately .This method is used to convert the gray scale medical image to color as color increases the visual appearance of image and also makes the visualizations more attractive. In this paper we present a novel method for applying colors. The coloring process is done by pseudocoloring method. The effectiveness of this method allows to works interactively and obtains result after providing colors. In this method we show that the proposed approach allows high colorization of images and the colored image is clear without loss in information.
Keywords: Colorization, Medical Images, Pseudocolor, Gray Scale Image, Colors.
Scope of the Article: Image Security