Automated haversian canal detection for histological sex determination

Abstract

Human bones can provide vital information about the person it belonged to, using different analytical methods. Histomorphological method can use only fragments of bone to estimate age and sex. Different researches have been conducted using these methods in which researchers have selected microstructural parameters according to their requirement. This paper presents automated haversian canal detection from bone sample image. This detection is part of a developing system for automated sex determination system. This sex determination system can identify sex from human bone sample by using microstructural image processing. The system is divided into two parts. In first part bone samples are selected, manually analyzed and differences in microstructural parameters in males and females are observed. While in second part these observations are used to design computer aided automation system. Lastly this paper concludes system while giving its importance in multiple aspects.