Design of the color vector similarity coefficient classifier for bleeding detection in wireless capsule endoscopy images

In order to improve the recognition rate of the bleeding intelligent recognition, the new concept of color vector similarity coefficient was brought forth to measure the color similarity, the calculation formula of the similarity coefficient was also derived. Based on this similarity coefficient the classifier was designed which can be applied in the RGB color space; combining the classifier with the algorithm of seeded-region-grow the new algorithm of wireless capsule endoscopy (WCE) image bleeding intelligent recognition was implemented. The experiments show that the sensitivity and the specificity of this algorithm reach 97%, 90% respectively. The WCE image bleeding intelligent recognition is basically realized and will be applied in the WCE images detection to help the clinician.