  Wireless capsule endoscopy (WCE) is an effective means of diagnosis of
gastrointestinal disorders. Detection of informative scenes by WCE could reduce
the length of transmitted videos and can help with the diagnosis. In this paper
we propose a simple and efficient method for segmentation of the bleeding
regions in WCE captured images. Suitable color channels are selected and
classified by a multi-layer perceptron (MLP) structure. The MLP structure is
quantized such that the implementation does not require multiplications. The
proposed method is tested by simulation on WCE bleeding image dataset. The
proposed structure is designed considering hardware resource constrains that
exist in WCE systems.
