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Information Technology Journal
  Year: 2010 | Volume: 9 | Issue: 8 | Page No.: 1682-1685
DOI: 10.3923/itj.2010.1682.1685
 
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Novel Color Microscopic Image Segmentation with Simultaneous Uneven Illumination Estimation based on PCA

Wei Wei-Yi, Li Zhan-Ming, Zhang Gui-Cang and Zhang Guo-Quan

Abstract:
Spatial intensity variations caused by illumination changes have been a challenge for microscopic image segmentation. This study presents a new scheme for color microscopic image segmentation free from the influence of uneven illumination. First extract the most important component in RGB space by the Principal Component Analysis (PCA) which can transform the high dimension to lower dimension effectively, meanwhile, build a new estimating uneven illumination model from the data required from real scene, last find out the model’s parameters in principal component by means of iteration method. Experiment results show that the proposed method can get better segmentation results in microscopic image under the circumstance of uneven illumination.
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How to cite this article:

Wei Wei-Yi, Li Zhan-Ming, Zhang Gui-Cang and Zhang Guo-Quan, 2010. Novel Color Microscopic Image Segmentation with Simultaneous Uneven Illumination Estimation based on PCA. Information Technology Journal, 9: 1682-1685.

DOI: 10.3923/itj.2010.1682.1685

URL: https://scialert.net/abstract/?doi=itj.2010.1682.1685

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