Abstract
This paper covers an investigation on the various feature extraction techniques employed for the statistical estimation of leukocyte classification from blood sample images since the identification or analysis of these four classes of leukocytes plays a vital role in the early identification of various diseases. The manual estimation of these WBC’s by pathologist is error prone and time consuming. This paper mainly concentrates on the study of leukocyte classification methodology and various feature extraction techniques for the classification of four classes of Leukocytes such as Neutrophil, Lymphocyte, Monocyte, and Eosinophil which can be fed to SVM or neural network for further classification.
Highlights
The blood consist of different components like Plasma, Platelets, Red Blood Cells(RBC’s) and White Blood Cells(WBC’s).The main component of blood is Plasma which consist of water with ions, nutrients etc
This paper covers various feature extraction methods for leukocytes classification methods adopted by various researchers based on digital image processing techniques .The image data set is from the dataset provided by Sarrafzadeh et al [3]
The segmentation is used to segment nucleus and cytoplasm from leukocytes [11].The feature extraction is the step after segmentation.Fig.3 shows the examples of subtypes of Leukocytes
Summary
Necessary substances like nutrients and oxygen to the cells are delivered by the body fluid called blood. This paper covers various feature extraction methods for leukocytes classification methods adopted by various researchers based on digital image processing techniques .The image data set is from the dataset provided by Sarrafzadeh et al [3]. This work performed comparison of segmentation techniques like edge-based segmentation, thresholding, clustering and color based feature extraction technique for cell identification. Existing Methodology for Leukocyte Classification blood sample image This system consists of two phases: training phase and testing phase. The histogram equalization and different type of filters are the commonly used techniques for preprocessing [9].Segmentation is used for border identification by which the leukocytes are being isolated from other components in blood. The segmentation is used to segment nucleus and cytoplasm from leukocytes [11].The feature extraction is the step after segmentation.Fig. shows the examples of subtypes of Leukocytes
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Engineering & Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
