Paper Abstract and Keywords |
Presentation |
2013-11-08 10:30
The Real-time Feature Extraction Architecture for Colorectal Endoscopic Images with NBI Magnification Tsubasa Mishima, Satoshi Shigemi, Anh-Tuan Hoang, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2013-43 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Increment in number of colorectal cancer patient increases the requirement for a more efficient diagnosis system. In this study, we have proposed an improvement for feature extraction in computer-aided diagnosis (CAD) system for colorectal endoscopic images with narrow-band imaging (NBI) magnification. The algorithm with a bag-of-features (BoF) representation of local features and Dense Scale-Invariant Feature Transform (D-SIFT) is used in the feature extraction. It is necessary to consider a trade-off of the precision of the feature extraction and speedup by the FPGA implementation for processing of real time full high definition (1920 x 1080) image. In this paper, we reduced the number of dimensions for feature representation in hardware implementation purpose. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dense Scale-Invariant Feature Transform (D-SIFT) / Colorectal Endoscopic Images / Computer-Aided Diagnosis (CAD) / Bag-of-Features (BoF) / FPGA / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 282, CPSY2013-43, pp. 25-30, Nov. 2013. |
Paper # |
CPSY2013-43 |
Date of Issue |
2013-11-01 (CPSY) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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CPSY2013-43 |
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