Image resizing using saliency strength map and seam carving for white blood cell analysis

A new image-resizing method using seam carving and a Saliency Strength Map (SSM) is proposed to preserve important contents, such as white blood cells included in blood cell images. To apply seam carving to cell images, a SSM is initially generated using a visual attention model and the structural p...

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Bibliographic Details
Published in:Biomedical engineering online 2010-09, Vol.9 (1), p.54-54, Article 54
Main Authors: Ko, ByoungChul, Kim, SeongHoon, Nam, JaeYeal
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Cell differentiation
Cell Shape
Cell Size
Data compression
Image Processing, Computer-Assisted - methods
Leukocytes
Leukocytes - cytology
Methods
Molecular Imaging
Principal components analysis
Studies
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Summary:A new image-resizing method using seam carving and a Saliency Strength Map (SSM) is proposed to preserve important contents, such as white blood cells included in blood cell images. To apply seam carving to cell images, a SSM is initially generated using a visual attention model and the structural properties of white blood cells are then used to create an energy map for seam carving. As a result, the energy map maximizes the energies of the white blood cells, while minimizing the energies of the red blood cells and background. Thus, the use of a SSM allows the proposed method to reduce the image size efficiently, while preserving the important white blood cells. Experimental results using the PSNR (Peak Signal-to-Noise Ratio) and ROD (Ratio of Distortion) of blood cell images confirm that the proposed method is able to produce better resizing results than conventional methods, as the seam carving is performed based on an SSM and energy map. For further improvement, a faster medical image resizing method is currently being investigated to reduce the computation time, while maintaining the same image quality.
ISSN:1475-925X
1475-925X
DOI:10.1186/1475-925X-9-54