Share Email Print
cover

Proceedings Paper • new

An enhanced narrow-band imaging method for the microvessel detection
Author(s): Feng Yu; Enmin Song; Hong Liu; Youming Wan; Jun Zhu; Chih-Cheng Hung
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A medical endoscope system combined with the narrow-band imaging (NBI), has been shown to be a superior diagnostic tool for early cancer detection. The NBI can reveal the morphologic changes of microvessels in the superficial cancer. In order to improve the conspicuousness of microvessel texture, we propose an enhanced NBI method to improve the conspicuousness of endoscopic images. To obtain the more conspicuous narrow-band images, we use the edge operator to extract the edge information of the narrow-band blue and green images, and give a weight to the extracted edges. Then, the weighted edges are fused with the narrow-band blue and green images. Finally, the displayed endoscopic images are reconstructed with the enhanced narrow-band images. In addition, we evaluate the performance of enhanced narrow-band images with different edge operators. Experimental results indicate that the Sobel and Canny operators achieve the best performance of all. Compared with traditional NBI method of Olympus company, our proposed method has more conspicuous texture of microvessel.

Paper Details

Date Published: 19 February 2018
PDF: 8 pages
Proc. SPIE 10607, MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis, 106070T (19 February 2018); doi: 10.1117/12.2287765
Show Author Affiliations
Feng Yu, Huazhong Univ. of Science and Technology (China)
Enmin Song, Huazhong Univ. of Science and Technology (China)
Hong Liu, Huazhong Univ. of Science and Technology (China)
Youming Wan, Huazhong Univ. of Science and Technology (China)
Jun Zhu, Huazhong Univ. of Science and Technology (China)
Chih-Cheng Hung, Kennesaw State Univ. (United States)


Published in SPIE Proceedings Vol. 10607:
MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jun Zhang; Hongshi Sang, Editor(s)

© SPIE. Terms of Use
Back to Top