Probabilistic prediction of malaria using morphological and textural information

Author

Das, Devkumar ; Ghosh, Madhumala ; Chakraborty, Chandan ; Maiti, Ashok K. ; Pal, Mallika

Author_Institution

Sch. of Med. Sci. & Technol., Indian Inst. of Technol. Kharagpur, Kharagpur, India

fYear

2011

fDate

3-5 Nov. 2011

Firstpage

1

Lastpage

6

Abstract

The objective of this paper is to introduce a computer assisted prediction of malaria infection particularly Plasmodium vivax based on the morphological and textural information. Here erythrocytes have been segmented from light microscopic images of peripheral blood smear using marker controlled watershed followed by pre-processing. Thereafter texture and morphology of erythrocytes are extracted using geometrical and Haralick texture measure. Finally statistically significant features are fitted with multivariate regression model. This predictive model is good fitted (-2 Log Likelihood = 24.636 and Chi-Square = 820.949) and it gives 88.77 % prediction accuracy.

Keywords

blood; diseases; image segmentation; image texture; medical image processing; Haralick texture measure; Plasmodium vivax; computer assisted malaria infection prediction; erythrocyte; light microscopic image segmentation; marker controlled watershed; multivariate regression model; peripheral blood smear; probabilistic malaria prediction; textural information; Blood; Diseases; Entropy; Feature extraction; Image segmentation; Information processing; Predictive models; P. vivax; malaria; multivariate logistic regression; texture; watershed;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Information Processing (ICIIP), 2011 International Conference on

Conference_Location

Himachal Pradesh

Print_ISBN

978-1-61284-859-4

Type

conf

DOI

10.1109/ICIIP.2011.6108879

Filename

6108879