DocumentCode :
140562
Title :
Local self similar descriptors: Comparison and application to gastroenterology images
Author :
Sousa, Ricardo ; Moura, Daniel C. ; Dinis-Ribeiro, Mario ; Coimbra, M.T.
Author_Institution :
Inst. de Eng. Biomed., Univ. do Porto, Porto, Portugal
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4635
Lastpage :
4638
Abstract :
Local descriptors coupled with robust methods for learning visual dictionaries have been a pivotal tool in computer vision. Although the identification of similar patterns is commonly conducted on some stage of the bag-of-words framework, a prior assessment of spatial local similarities can be indicative of specific objects, and thus improved recognition rates. In this work we delve a function of similarity for enhancing the discriminative power of local constrained SIFT descriptors. Motivated by gastrointestinal images where diagnosis through endoscopy plays a decisive role in cancer detection and resulting prognosis, visual cues in these early stages are slim and of difficult perception. In order to capture these patterns we propose a self-similarity approach (based on a neighbourhood analysis of SIFT descriptors) to assess local variances through a weight function. Based on extensive simulations our approach achieved a performance of 88%: 3% higher than the standard SIFT, 10% higher than Haar wavelet and 13% higher than LBPs.
Keywords :
biomedical optical imaging; cancer; endoscopes; fractals; image recognition; medical image processing; bag-of-word framework; cancer detection; computer vision; endoscopy; gastroenterology images; local constrained SIFT descriptors; local self similar descriptors; pattern recognition rates; pivotal tool; weight function; Computer vision; Dictionaries; Endoscopes; Gastroenterology; Gastrointestinal tract; Pattern recognition; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944657
Filename :
6944657
Link To Document :
بازگشت