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Capsule endoscopy was introduced to gastroenterology with the aim of improvement of the diagnostics means for these parts of gastrointestinal tract which are difficult to reach with a classical endoscopy. Modern capsules are equipped with an on-board light source and a camera Acquired images are transmitted to a video recorder. The next generation capsule that is developed within the VECTOR (Versatile...
The paper addresses data processing support that is required in capsule gastrointestinal endoscopy. First, capsule position estimation method using standard MPEG-7 image features (descriptors) is discussed. The proposed approach makes use of vector quantization, principal component analysis and neural networks. Next, new algorithms dedicated for virtual colonoscopy (VC) human body inspection are described...
The paper addresses the problem of localization of video endoscopic capsule in the gastrointestinal (GI) tract on the base of appropriate classification of images received from it. In this context usefulness of MPEG-7 image descriptors as classification features has been verified. For classification purpose various state of the art tools were used including Neural Networks and Vector Quantization...
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