DocumentCode
2463408
Title
Counting and radius estimation of lipid droplet in intracellular images
Author
Kumagai, Shohei ; Hotta, Kazuhiro
Author_Institution
Meijo Univ., Nagoya, Japan
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
67
Lastpage
71
Abstract
Light spot counting and radius estimation in intracellular images is important for investigating the cause of clinical condition. Since light spots are counted manually now, we propose automatic counting and radius estimation methods by computer. To count light spots by computer, we realize it by face detection manner with Support Vector Machine. To estimate radius of light spot, we use circle fitting by robust statistic. The proposed method gives higher accuracy than ImageJ which is the generated light spot detection software in cell biology. The effectiveness of the radius estimating is also shown by experiments.
Keywords
face recognition; medical image processing; support vector machines; cell biology; counting estimation; face detection; intracellular images; light spot counting; lipid droplet; medical imaging processing; radius estimation; support vector machine; Accuracy; Estimation; Fitting; Image edge detection; Lipidomics; Robustness; Support vector machines; Circle Fitting; Intracellular Images; Light Spots Counting; Radius Estimation; Robust Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-1713-9
Electronic_ISBN
978-1-4673-1712-2
Type
conf
DOI
10.1109/ICSMC.2012.6377678
Filename
6377678
Link To Document