Browse > Article
http://dx.doi.org/10.9717/kmms.2014.17.10.1150

Area Measurement of Organism Image using Super Sampling and Interpolation  

Choi, Sun-Wan (Dept. of Information & Communications Engineering, Anyang Univ.)
Yu, Suk-Hyun (Dept. of Information & Communications Engineering, Anyang Univ.)
Publication Information
Journal of Korea Multimedia Society / v.17, no.10, 2014 , pp. 1150-1159 More about this Journal
Abstract
This paper proposes a method for extracting tissue cells from an organism image by an electron microscope and getting the whole cell number and the area from the cell. In general, the difference between the cell color and the background is used to extract tissue cell. However, there may be a problem when overlapped cells are seen as a single cell. To solve the problem, we split them by using cell size and curvature. This method has a 99% accuracy rate. To measure the cell area, we compute two areas, the inside and boundary of the cell. The inside is simply calculated by the number of pixels. The cell boundary is obtained by applying super sampling, linear interpolation, and cubic spline interpolation. It improves the error rate, 18%, 19%, and 120% respectively, in comparison to the counting method that counts a pixel area as 1.
Keywords
Cell Extraction; Area Measurement; Super Sampling; Interpolation;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Catholic University, Development and Application of Microscopic Digital Image Analysis System for Judgement of Disease such as Tuberculosis or Bone Marrow Cellularity, 2009-0087946, 2009.
2 B.J. Oh and D.H. Choi, "Number Region Extraction of License Plates using Colors and Arragement of Numbers," Journal of Korea Multimedia Society, Vol. 14, No. 9, pp. 1117-1124, 2011.   DOI
3 S.H. Kim, K.E. Lee, and G.Y. Heo, "Development of a Framework for Robust Extraction of Regions of Interest," Journal of The Korea Society of Computer and Information, Vol. 16, No. 12, pp. 49-57, 2011.   과학기술학회마을   DOI
4 Y. Shen, C. Lu, and P. Xu, "Stereoscopic Video Object Segmentation based on Disparity Map," Proceeding of International Conference Measuring Technology and Mechatronics Automation, Vol. 3, pp. 13-14, 2010.
5 K.B. Kim, "Extraction of Muscle Areas form Ultrasonographic Images using Subcutaneous Fat Areas and Thoracic Vertebra," Journal of The Korea Society of Computer and Information, Vol. 17. No. 5, pp. 29-32, 2012.   과학기술학회마을   DOI
6 G.H. Jang, H.H. Park, S.L. Lee, D.H. Kim, and M.K. Lim, "An Effective Extraction Algorithm of Pulmonary Regions using Intensitylevel Maps in Chest X-ray Images," Journal of Korea Multimedia Society, Vol. 13, No. 7, pp. 1062-1075, 2010.
7 Y. Boykov and V. Kolmogorov, "An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, Issue 9, pp. 1124-1137, 2004.   DOI   ScienceOn
8 P. Soille and L. Misson, "Tree Ring Area Measurement using Morphological Image Analysis," Canadian Journal of Forest Research, Vol. 31, No. 6, pp. 1074-1083, 2001.   DOI
9 S. Zhang, T.S. Hatsukami, N.L. Polissar, C. Han, and C. Yuan, "Comparison of Carotid Vessel Wall Area Measurement using Three Different Contrast-weighted Black Blood MR Imaging Techniques," Magnetic Resonance Imaging, Vol. 19, Issue 6, pp. 795-802, 2001.   DOI
10 R.C. Gonzalez, Digital image processing, Prentice Hall, Upper Saddle River, New Jersey, 2007.
11 W.K. Kim, S.W. Ra, and J.W. Lee, "A Study on Digital Image Processing Algorithm for Area Measurement of an Object Image by the Hierarchical Angle-Distance Graphs," The Transactions of Korea Information Processing Society B, Vol. 13-B, No. 2, pp. 83-88, 2006.   과학기술학회마을   DOI
12 M.Y. Baek and H.Y. Kwon, "Reconstructing Contour Lines Algorithm and Reconstructing 3D Models Algorithm," Proceedings of the Fall Conference Korean Institute of Information Scientists and Engineers, Vol. 31, No. 2, pp. 637-639, 2004.
13 R.L. Graham, "An Efficient Algorithm for Determining the Convex Hull of a Finite Planar Set," Information Processing Letters, Vol. 1, No. 4, pp. 132-133, 1972.   DOI   ScienceOn
14 W.S. Joo, Learning Computer Graphics by OpenGL, Hanbit, Seoul, Korea, 2006.
15 S.C. Cahpra and R.D. Canale, Numerical Methods for Engineers 5th, McGraw-Hill, Seoul, Korea, 2006.