Mr. Feng Yu Profile

Feng Yu

Doctoral Candidate at Huazhong Univ of Science And Technology

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Proceedings Article | 19 February 2018 Paper

An enhanced narrow-band imaging method for the microvessel detection

Feng Yu, Enmin Song, Hong Liu, Youming Wan, Jun Zhu, Chih-Cheng Hung

Proceedings Volume 10607, 106070T (2018) https://doi.org/10.1117/12.2287765

KEYWORDS: Image enhancement, Endoscopy, Edge detection, Image processing, Imaging systems, Endoscopes

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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.

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