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Proceedings Paper

A new image segmentation method based on partial adaptive thresholds
Author(s): Lingling Qiao; Xiaoju Mao
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Paper Abstract

A new segmentation algorithm based on partial adaptive thresholds is proposed to divide the cell images efficiently. First, it divides the whole image into several parts, then computes the grads histogram each parts and performs OTSU segmentation, at last, it considers the effect of the noise in the image and removes the noise with morphologic noise filter. The experimental results show that the algorithm has a good effect to differentiate and divide the detail of the cell image, and it is applied to the image that is not obvious between background and objects and being some noise.

Paper Details

Date Published: 29 August 2016
PDF: 4 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331N (29 August 2016); doi: 10.1117/12.2244662
Show Author Affiliations
Lingling Qiao, ShangQiu Univ. (China)
Xiaoju Mao, ShangQiu Univ. (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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