Earticle

초록

영어

When the cytological smear method is used to check cervical lesions, the irregularity of the cells contour is essential for smear image interpretation and has the vital significance for research on computer aided diagnosis of cervical lesions. Aimed at measuring the regularity of cells outlines, based on the characteristic that the normal cell smears is generally circular, oval, convex polygon, we put forward a cell contour irregularity feature extraction and measurement method based on linear geometric heat flow curve evolution, in which the curve of cells outline is dealt with linear geometric heat flow curve evolution to totally convex (i.e. no curvature zero crossing) and compared with the original contour to extract indexes which can describe irregularity features of cell contour. Experimental results show that the method proposed in this paper can better describe the irregularity of cell contour and distinguish cells of different lesions.

목차

Abstract
 1. Introduction
 2. Linear Geometric Heat Flow Evolution of Cell Contour Curve
 3. Contour Amplification
 4. Calculation of Irregular Contour Degree
  4.1. The Total Area Ratio of Non-Overlapping Regions
  4.2. The Average Area of non-overlapping Regions
 5. Experiment and Analysis
  5.1. Experiment 1: to Compare with Human Cognition
  5.2. Experiment 2: the Scatter Analysis Between r snol and r anol
  5.3. Experiment 3: to Analyze the Ability of Classification
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Xu Chuanyun [ College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400044, China, College of Computer Science, Chongqing University, Chongqing 400044, China ]
• Zhang Yang [ College of Computer and Information Science, Chongqing Normal University, Chongqing 400044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605