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Proceedings Paper

Salient region detection for phytoplankton microscopic image
Author(s): Jingjing Chu; Guangrong Ji; Haiyong Zheng; Kun Yu; Hongguang Lu
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Paper Abstract

IG method is an excellent salient region detection method as its good generality and well-defined boundaries. In this paper, an improved method based on IG method is proposed to generate saliency map for phytoplankton microscopic images. This method utilizes the characteristics of phytoplankton microscopic images, through Gaussian low-pass filter to reduce high frequency components corresponding to water stains and dust specks. On the basis of luminance and color used in IG method, saturation is added to determine saliency due to that the saturation of background is lower than that of cells. The experimental results show that the proposed method can not only improve visual quality significantly, but also obtain higher precision and better recall rates compared with IG method.

Paper Details

Date Published: 19 July 2013
PDF: 4 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782Q (19 July 2013); doi: 10.1117/12.2030691
Show Author Affiliations
Jingjing Chu, Ocean Univ. of China (China)
Guangrong Ji, Ocean Univ. of China (China)
Haiyong Zheng, Ocean Univ. of China (China)
Kun Yu, Ocean Univ. of China (China)
Hongguang Lu, Ocean Univ. of China (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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