Endoscopic feature tracking and scale-invariant estimation of soft-tissue structures

Chia Hsiang Wu, Yung Nien Sun, Yi Chiao Chen, Chien Chen Chang

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this study, we introduce a software pipeline to track feature points across endoscopic video frames. It deals with the common problems of low contrast and uneven illumination that afflict endoscopic imaging. In particular, irregular feature trajectories are eliminated to improve quality. The structure of soft tissue is determined by an iterative factorization method based on collection of tracked features. A shape updating mechanism is proposed in order to yield scale-invariant structures. Experimental results show that the tracking method produced good tracking performance and increased the number of tracked feature trajectories. The real scale and structure of the target scene was successfully estimated, and the recovered structure is more accuracy than the conventional method.

原文English
頁(從 - 到)351-360
頁數10
期刊IEICE Transactions on Information and Systems
E91-D
發行號2
DOIs
出版狀態Published - 2008 二月

All Science Journal Classification (ASJC) codes

  • 軟體
  • 硬體和架構
  • 電腦視覺和模式識別
  • 電氣與電子工程
  • 人工智慧

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