Detection of small bowel tumors in endoscopic capsule images by modeling non-gaussianity of texture descriptors
This paper presents an approach to the automatic detection of small bowel tumors by processing endoscopic capsule images. The most significant texture information is selected by using wavelet processing and captured in the image domain from an appropriate synthesized image. Co-occurrence matrices ar...
Main Author: | |
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Other Authors: | , , |
Format: | article |
Language: | eng |
Published: |
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/17771 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/17771 |