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Wireless Capsule Endoscopy is a colour imaging technology that enables close examination of the interior of the entire small intestine. The Wireless Capsule Endoscope (WCE) operates for ∼ 8 hours and captures ∼ 40, 000 useful images. The images are viewed by a clinician as a video sequence, generally taking over an hour to analyse. In this paper we present a method of automatically discriminating stomach and intestine tissue which can significantly speed-up one key part of the video analysis time, namely the process of locating the Pylorus- the valve between the stomach and the intestine. We divide the WCE image into 28 sub-regions and process only those regions where tissue is clearly visible. We create a feature vector using colour and texture information. The colour features are derived from Hue Saturation chromaticity histograms of the useful regions, compressed using a hybrid transform …