Adaptive Histogram Thresholding-Based Leukocyte Image Segmentation - Details

author：

Zhou, Xiaogen (Zhou, Xiaogen.) ^[1] | Wang, Chuansheng (Wang, Chuansheng.) ^[2] | Li, Zuoyong (Li, Zuoyong.) ^[3] | Zhang, Fuquan (Zhang, Fuquan.) ^[4] Unfold

Indexed by：

EI Scopus

Abstract：

To　improve　the　accuracy　of　leukocyte　segmentation,　this　paper　presents　a　novel　method　based　on　adaptive　histogram　thresholding　(AHT).　The　proposed　method　first　employs　color　component　combination　and　AHT　to　extract　the　nucleus　of　leukocyte　and　utilizes　image　color　features　to　remove　the　complex　backgrounds　such　as　red　blood　cells　(RBCs)　and　substantial　dyeing　impurities.　Then,　Canny　edge　detection　is　performed　to　extract　the　entire　leukocyte.　Finally,　the　cytoplasm　of　the　leukocyte　is　obtained　by　subtracting　the　nucleus　with　the　entire　leukocyte.　Experimental　results　on　an　image　dataset　containing　60　leukocyte　images　show　that　the　proposed　method　generates　more　accurate　segmentation　results　than　the　counterparts.　©　Springer　Nature　Singapore　Pte　Ltd.　2020.

Keyword：

Blood Cells Color Color image processing Cytology Edge detection Graphic methods Image segmentation Multimedia signal processing Removal

Community：

[ 1 ] [Zhou, Xiaogen]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
[ 2 ] [Zhou, Xiaogen]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China
[ 3 ] [Wang, Chuansheng]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China
[ 4 ] [Wang, Chuansheng]School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China
[ 5 ] [Li, Zuoyong]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China
[ 6 ] [Zhang, Fuquan]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China

Reprint 's Address：

[li, zuoyong]fujian provincial key laboratory of information processing and intelligent control, minjiang university, fuzhou, china

Email：

fzulzytdq@126.com

Show more details

Version：

Adaptive Histogram Thresholding-Based Leukocyte Image Segmentation
2020，Smart Innovation, Systems and Technologies

Leukocyte Segmentation via End-to-End Learning of Deep Convolutional Neural Networks
2019，9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019
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2019，10th International Conference on Information Technology in Medicine and Education, ITME 2019
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2014，Chinese Journal of Scientific Instrument
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2019，10th IEEE International Conference on Software Engineering and Service Science, ICSESS 2019

Source ：

ISSN： 2190-3018

Year： 2020

Volume： 157

Page： 451-459

Language： English

Cited Count：

WoS CC Cited Count：数据采集中

SCOPUS Cited Count： 13

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 2

Affiliated Colleges：

计算机与大数据学院、软件学院本学院/部未明确归属的数据

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