Using image processing technology and mathematical algorithm in the automatic selection of vocal cord opening and closing images from the larynx endoscopy video.
The human larynx is an important organ for voice production and respiratory mechanisms. The vocal cord is approximated for voice production and open for breathing. The videolaryngoscope is widely used for vocal cord examination. At present, physicians usually diagnose vocal cord diseases by manually selecting the image of the vocal cord opening to the largest extent (abduction), thus maximally exposing the vocal cord lesion. On the other hand, the severity of diseases such as vocal palsy, atrophic vocal cord is largely dependent on the vocal cord closing to the smallest extent (adduction). Therefore, diseases can be assessed by the image of the vocal cord opening to the largest extent, and the seriousness of breathy voice is closely correlated to the gap between vocal cords when closing to the smallest extent. The aim of the study was to design an automatic vocal cord image selection system to improve the conventional selection process by physicians and enhance diagnosis efficiency. Also, due to the unwanted fuzzy images resulting from examination process caused by human factors as well as the non-vocal cord images, texture analysis is added in this study to measure image entropy to establish a screening and elimination system to effectively enhance the accuracy of selecting the image of the vocal cord closing to the smallest extent.
Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, No. 43, Keelung Road, Sec. 4, Taipei 106, Taiwan, ROC. Electronic address: jeffreykuo@mail.ntust.edu.tw.
Chung-Feng Jeffrey
CF
Kuo
Yueng-Hsiang
YH
Chu
Po-Chun
PC
Wang
Chun-Yu
CY
Lai
Wen-Lin
WL
Chu
Yi-Shing
YS
Leu
Hsing-Won
HW
Wang
D000465:Algorithms; D004724:Endoscopy; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007830:Larynx / Q000502:physiology*; D014827:Vocal Cords / Q000502:physiology*
Automatic vocal cord image selection; Image processing; Videolaryngoscope; Vocal cord dynamic images