doi: 10.7763/IJCTE.2013.V5.656
Recognition and Classification of the Cancer Cells byusing Image Processing and Lab VIEW
Hossein Ghayoumi Zadeh1
,
Siamak Janianpour2 ,
Javad Haddadnia1
- 1Bio Medical Engineering Department, Hakim Sabzevari University, Sabzevar, Iran.
- 2Electrical and Computer Engineering Department, Hakim Sabzevari University, Sabzevar, Iran.
Abstract
In this work, an image analysis approach for automated detection, segmentation, and classification of particular cells, specially the cancer cells from normal cells is introduced. In this technique we can also count the number of defected cells and find their position with image processing. The results of this analysis are useable in designing a neural network for more accurate analysis. The particular cells segregation is the most important property of this work. Using the LABVIEW Software gave practical usages to this image processing system because it can communicate with other equipments used in this system and controls them in order to have an automatic system. This demonstrates the potential effectiveness of such a system on diagnostic tasks that require the classification of individual cells.
Keywords
- Convolution
- fast fourier transforms
- gaussian processes
- LABVIEW
How to Cite
Hossein Ghayoumi Zadeh, Siamak Janianpour, and Javad Haddadnia, "Recognition and Classification of the Cancer Cells byusing Image Processing and Lab VIEW," International Journal of Computer Theory and Engineering, vol. 5, no. 1, pp. 104-107, 2013. https://doi.org/10.7763/IJCTE.2013.V5.656
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).