Salient region detection for phytoplankton microscopic image

Jingjing Chu; Guangrong Ji; Haiyong Zheng; Kun Yu; Hongguang Lu

doi:10.1117/12.2030691

19 July 2013 Salient region detection for phytoplankton microscopic image

Jingjing Chu, Guangrong Ji, Haiyong Zheng, Kun Yu, Hongguang Lu

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782Q (2013) https://doi.org/10.1117/12.2030691
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

Citation Download Citation

Jingjing Chu, Guangrong Ji, Haiyong Zheng, Kun Yu, and Hongguang Lu "Salient region detection for phytoplankton microscopic image", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782Q (19 July 2013); https://doi.org/10.1117/12.2030691

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