Novedosa técnica para la detección de imágenes pornográ® cas empleando modelos de color HSV y YCbCr/Novel method for pornographic image detection using HSV and YCbCr color models

In this article, a novel method to explicit content or pornographic images detection is proposed, using the transformation from RGB to HSV or YCbCr color model, which is the most usual format to images that exists on Internet, moreover, the using of a threshold to skin detection applying the color models HSV and YCbCr is proposed. Using the proposed threshold the image is segmented, once the image segmented, the skin quantity localized in that image is calculated. The obtained results using the proposed system are compared with two programs which carry out with the same goal, the Forensic Toolkit 3.1 Explicit Image Detection and the Paraben's Porn Detection Stick that are two the most commercials solutions to pornographic images detection. The reported results in this article were obtained, using three sets of images, each one of them consist of 800 images choosing randomly which 400 are natural images and the rest are explicit content images, this sets were used to probe the proposed system and the two tools commercials.