Analysis of blood smear images using dark contrast algorithm and morphological filters
In recent years, Biomedical Imaging has emerged as an effective tool in diagnosis of various diseases. In order to perform anatomy or histology of cells, Blood Smear Images are used. To process these images, enhancement plays a major role in order to increase visual quality of the image and for accu...
Saved in:
Main Authors: | Gupta, Sparshi, Bhateja, Vikrant, Verma, Siddharth, Singh, Sourabh, Omar, Zaid, So In, Chakchai |
---|---|
Format: | Conference or Workshop Item |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/108430/ http://dx.doi.org/10.1007/978-981-19-7513-4_53 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combination of EEMD and morphological filtering for baseline wander correction in EMG signals
by: Tiwari, Deepak Kumar, et al.
Published: (2018) -
Auto-lesion segmentation with a novel intensity dark channel prior for COVID-19 detection
by: Saleh, Basma Jumaa, et al.
Published: (2023) -
Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
by: N. S. M. M., Hanif, et al.
Published: (2011) -
Contrast Enhancement Image Processing Technique On Segmented Pap Smear Cytology Images.
by: Mat Isa, Nor Ashidi, et al.
Published: (2003) -
AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR
by: YEO, YEO SOCK CHUANG
Published: (2013)