Comput Methods Programs Biomed - Capsule endoscopy image analysis using texture information from various colour models.

Tópicos

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Resumo

Wireless capsule endoscopy (WCE) is a novel imaging technique that is gradually gaining ground as it enables the non-invasive and efficacious visualization of the digestive track, and especially the entire small bowel including its middle part. However, the task of reviewing the vast amount of images produced by a WCE examination is a burden for the physicians. To tackle this major drawback, an innovative scheme for discriminating endoscopic images related to one of the most common intestinal diseases, ulceration, is presented here. This new approach focuses on colour-texture features in order to investigate how the structure information of healthy and abnormal tissue is distributed on RGB, HSV and CIE Lab colour spaces. The WCE images are pre-processed using bidimensional ensemble empirical mode decomposition so as to facilitate differential lacunarity analysis to extract the texture patterns of normal and ulcerous regions. Experimental results demonstrated promising classification performance (mean accuracy>95%), exhibiting a high potential towards automatic WCE image analysis.

Resumo Limpo

wireless capsul endoscopi wce novel imag techniqu gradual gain ground enabl noninvas efficaci visual digest track especi entir small bowel includ middl part howev task review vast amount imag produc wce examin burden physician tackl major drawback innov scheme discrimin endoscop imag relat one common intestin diseas ulcer present new approach focus colourtextur featur order investig structur inform healthi abnorm tissu distribut rgb hsv cie lab colour space wce imag preprocess use bidimension ensembl empir mode decomposit facilit differenti lacunar analysi extract textur pattern normal ulcer region experiment result demonstr promis classif perform mean accuraci exhibit high potenti toward automat wce imag analysi

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