Title :
Counting and radius estimation of lipid droplet in intracellular images
Author :
Kumagai, Shohei ; Hotta, Kazuhiro
Author_Institution :
Meijo Univ., Nagoya, Japan
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;
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
DOI :
10.1109/ICSMC.2012.6377678