Abstract

The present paper proposes a novel system that automatically classifies the eight different blood groups according to the ABO and Rh blood group systems. The proposed system is developed by applying MATLAB’s image processing techniques on the blood sample images. These images are acquired from the laboratory using the slide test. It utilizes a mean filter for removing noise from blood sample images. In addition, the Contrast Limited Adaptive Histogram Equalization (CLAHE) is used for enhancing the image characteristics analysis. The proposed system also utilizes the automated threshold strategy (Otsu’s approach) for obtaining the blood samples binary images. Since, adding the three antigens (A, B, D) to the blood samples works on clumping the samples or not, and this, in turn, works on the variation number of objects and holes in the different blood groups’ samples. Therefore, the “Bwboundaries” Matlab function is applied for the first time in the proposed system to count the number of objects and holes for blood group classification. The database used in the proposed system consists of 600 images collected from different laboratories. The suggested system has many advantages such as simplicity, speeding up processing time, reducing human interference and errors, decreasing the risk of transfusion reactions, and high accuracy, even in remote places. As well, it can be used by a lab technician or any user who doesn’t have any previous knowledge of the blood group detection technique. In addition to using this system to assist in several applications such as premarital tests, blood transfusion as well as paternity tests.

Highlights

  • There are various kinds of blood group

  • Blood type is a way to find out what type of blood a person has

  • It is very helpful in cases of blood transfusion, blood donation, accidents, and other emergencies

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Summary

Introduction

There are various kinds of blood group. The main two basic types are the ABO blood system and the Rhesus blood system. A premarital test is described by a series of laboratory and clinical tests that are offered to both spouses prior to marriage [5] It includes clinical assessment for family, barrenness, and laboratory tests such as blood count, blood type, the rate of hemoglobin, rhesus factor, functions of liver and kidney, HIV testing, male semen testing [6]. It reduces the risk of children developing a disorder. An impeccable operation justified by empirical and statistical measurements and perfect image analysis is required to identify the blood group

Related Work
Taking Image for the Blood Sample
Image Processing Techniques for Classification of the Blood Sample
Resizing the Image
Filtering the Image
Converting the Image to Gray
Enhancing the Image
3.2.10 Classification of the Blood Sample Image
Application and Experimental Results
Findings
Conclusion
Full Text
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