title: [Study on statistical method of distribution for erythrocyte morphological features by computerized image processing].
abstract: This study sought to develop a new statistic method for the semiautomatic analysis and classification of erythrocyte morphology based on the morphological features and shape analysis of erythrocytes by computer image processing. Shape factor as the description of the erythrocyte morphological features was used for the shape classification of erythrocytes. And the models and algorithms of erythrocytes image segmentation, cell body shape recognition and measure can be implemented through the VC++. The present method can efficiently and semi-automatically provide the statistical analysis of erythrocyte morphology, and can give the distribution of erythrocyte morphological features. The result showed that there was a significant difference between the distribution curves of the normal erythrocyte morphology (one apex) and hemolytic anemia's (two apices). By this way, it can be obtained the proportion data of different cell bodies' shapes. This method could provide some information for the study and diagnosis of the diseases (e.g. hemolytic anemia, pre-leukemia) related to erythrocyte morphology.
authors.affiliation: Southwest Nationalities College, Chengdu 610041.
authors.forename: B
authors.initials: B
authors.lastname: Hao
authors.forename: J
authors.initials: J
authors.lastname: Luo
authors.forename: G
authors.initials: G
authors.lastname: Yin
authors.forename: C
authors.initials: C
authors.lastname: Zheng
authors.forename: Y
authors.initials: Y
authors.lastname: Zheng
mesh_terms: D000465:Algorithms; D000743:Anemia, Hemolytic / Q000473:pathology; D004912:Erythrocytes / Q000145:classification / Q000166:cytology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012985:Software Design