Author : Keerthana.D 1
Date of Publication :7th November 2016
Abstract: The implementation of a new methodology to design and develop an intelligent portable blood analyzing device to detect blood group identification and blood count applications in RBC and WBC. The analysis of blood testing is done using the feature extraction of blood samples in image processing and by using an adaptive Hough transform techniques. The aim of this project is for switching over from manual method of blood grouping to the automated method which is used to decrease the risks of human error and ensure reliability and traceability in each step of the test performed. The simulation of blood group identification is done with the help of MATLAB 15 software. The hardware is done using the python language in Raspberry pi processor. The blood cell smears and blood group images were obtained from APOLLO Specialty Hospital, Perungudi. The proposed image processing based identification of blood groups of different patients will be very helpful for automatic, sleek and effective diagnosis of the groups and the diseases
Reference :
-
- Richard R. Jahan-Tigh, Caitriona Ryan, Gerlinde Obermoser and Kathryn Schwarzenberger,“Flow Cytometry”, Journal of Investigative Dermatology (2012)
- Thejashwini M & M C Padma “Counting of RBC’s and WBC’s using Image Processing Technique”, International Journal on Recent and Innovation Trends in Computing and Communication (2015), Volume:3, Issue:5
- Yogita Namdeo Pore, Yoginath R. Kalshetty “Review on Blood Cell Image Segmentation and Counting”, International Journal of Application or Innovation in Engineering & Management(IJAIEM), Volume:3, Issue:11
- Min Zhang, Xuanqin Mou, and Lei Zhang, “NonShift Edge Based Ratio (NSER): An Image Quality Assessment Metric Based on Early Vision Features”, IEEE Trans. Image Process vol. 18, NO. 5, MAY 2011
- Lehmann T.M., Wein B., Dahmen J., Bredno J., Vogelsang F. & Kohnen M.: “Content based image retrieval in Medical applications: a novel multi step approach” International Society for Optical Engineering (SPIE), 3972, pp.312-320 (2000)