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:
主要作者: | Kiu, Siew Ming |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2018
|
主题: | |
在线阅读: | http://ir.unimas.my/id/eprint/26606/1/Kiu%20Siew%20ft.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
An improved biclustering algorithm with overlapping control for identification of informative genes and pathways
由: Mohammad Kusairi, Rohani
出版: (2021) -
Identification of Image Features for Skin Burn Depth Classification
由: Kuan, Pei Nei
出版: (2018) -
Global features extraction and clustering for writer identification of English script
由: Fadhil, Murad Saadi
出版: (2011) -
Biomimetic pattern recognition for writer identification using geometrical moment functions
由: Samsuryadi, Samsuryadi
出版: (2013) -
New human action recognition scheme with geometrical feature representation and invariant discretization for video surveillance
由: Amir Sjarif, Nilam Nur
出版: (2015)