Cancer area extraction for uterine cervical image based on spectral matting
Ziqian Zhang, Tiexiang Wen, Jia Gu, Lei Wang · 2010 3rd International Congress on Image and Signal Processing · 2010
Extracting pathology area accurately is of great importance for robot assisted surgery system and computer aided diagnosis system. We extracted cancer area (acetowhite epithelium) in uterine cervical image based on spectral matting, which introduced the concept of fundamental matting components. Experiment results showed that for large and clear acetowhite epithelium area, almost all of details of tissue could be detected by user-guided matting. Besides, an extended user interaction mode reduces user effort and may avoid incomplete extraction result: in this mode the user is presented with several matting alternatives to choose from. In addition, transforming uterine cervical images from RGB model to XYZ color model could greatly improve the performance of cancer area extraction based on spectral matting.