Geometric Feature Extraction for Identification and Classification of the Overlapping Cells for Leukaemia
Overlapping cell identification and classification of microscopic blood cell image is proposed to increase the accuracy of the number of automated counting and the percentage of the overall accuracy. The accurate identification of overlapping cells can increase the accuracy of cell counting for dia...
Saved in:
Main Author: | Kiu, Siew Ming |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/26606/1/Kiu%20Siew%20ft.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved biclustering algorithm with overlapping control for identification of informative genes and pathways
by: Mohammad Kusairi, Rohani
Published: (2021) -
Identification of Image Features for Skin Burn Depth Classification
by: Kuan, Pei Nei
Published: (2018) -
Global features extraction and clustering for writer identification of English script
by: Fadhil, Murad Saadi
Published: (2011) -
Biomimetic pattern recognition for writer identification using geometrical moment functions
by: Samsuryadi, Samsuryadi
Published: (2013) -
New human action recognition scheme with geometrical feature representation and invariant discretization for video surveillance
by: Amir Sjarif, Nilam Nur
Published: (2015)