Determination of histogram type of cell images in microsystem for cell tracking

Title
Determination of histogram type of cell images in microsystem for cell tracking
Author(s)
심재술D. Hong[D. Hong]M. Cho[M. Cho]
Issue Date
201412
Publisher
KOREAN SOC PRECISION ENG
Citation
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.15, no.12, pp.2673 - 2676
Abstract
The process of separating cell objects from a background is very important in cell image analysis and cell tracking. Most cell image histograms that have uneven illumination during microscopic cell imaging have a uni-modal distribution. In general, it is more difficult to segment objects in images having a uni-modal distribution than in those having a bi-modal or multi-modal distribution; therefore, images having a uni-modal distribution require a special segmentation algorithm that is more complicated and requires computing costs. If the histogram of the given cell image is known, an appropriate segmentation algorithm is applied for an accurate segmentation. In this paper, we proposed an algorithm that automatically determines the histogram distribution of an inputted cell image. The proposed method uses the polygonal approximation method. We tested this algorithm on various cell images and the error was found to be less than 5% on average.
URI
http://hdl.handle.net/YU.REPOSITORY/30305http://dx.doi.org/10.1007/s12541-014-0641-1
ISSN
2234-7593
Appears in Collections:
공과대학 > 기계공학부 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE