![]() ![]() ![]() Endoscopy plays an important role in diagnostic of colon rectum cancer at an early development stage (Hosokawa et al. Furthermore, in 2015 cancer in the digestive system may cause the second highest number of fatalities among all sites (Siegel et al. The proposed algorithm has low and linear time complexity, which results in higher execution speed than other related works.Ĭancer is currently the second-leading cause of death in the United States (Siegel et al. The color enhancement was measured using color enhancement factor that shows considerable improvements. The color similarity has been verified using Delta E color difference, structure similarity index, mean structure similarity index and structure and hue similarity. The statistic visual representation and universal image quality measures show that the proposed method can highlight the mucosa structure compared to other methods. ![]() It can also be applied to enhance the tone of color images. This method is used on low contrast grayscale white light images and raw narrow band images to highlight the vascular and mucosa structures and to colorize the images. The color map is dynamic as its contents change with the change of the theme image. A database of color endoscopy image for different location is prepared for this purpose. The theme image is selected from a nearby anatomical location. A novel dictionary based color mapping algorithm is used for reproducing the color information from a theme image. In this paper, we present a real-time preprocessing algorithm for image enhancement for endoscopic images. ![]()
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