摘要
Wireless capsule endoscopes (WCEs) have been used widely to detect abnormalities inside regions of the small intestine that are not accessible when using traditional endoscopy techniques. However, an experienced clinician must spend an average of 2 hours to view and analyze the approximately 60,000 images produced during one examination. Therefore, developing a computeraided system for processing WCE images is crucial. This paper proposes a novel method used for detecting bleeding and ulcers in WCE images. This approach involves using color features to determine the status of the small intestine. The experimental results revealed that the proposed scheme is promising in detecting bleeding and ulcer regions.
Wireless capsule endoscopes (WCEs) have been used widely to detect abnormalities inside regions of the small intestine that are not accessible when using traditional endoscopy techniques. However, an experienced clinician must spend an average of 2 hours to view and analyze the approximately 60,000 images produced during one examination. Therefore, developing a computeraided system for processing WCE images is crucial. This paper proposes a novel method used for detecting bleeding and ulcers in WCE images. This approach involves using color features to determine the status of the small intestine. The experimental results revealed that the proposed scheme is promising in detecting bleeding and ulcer regions.
