A new image segmentation method based on partial adaptive thresholds

Lingling Qiao; Xiaoju Mao

doi:10.1117/12.2244662

29 August 2016 A new image segmentation method based on partial adaptive thresholds

Lingling Qiao, Xiaoju Mao

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100331N (2016) https://doi.org/10.1117/12.2244662
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

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.

Citation Download Citation

Lingling Qiao and Xiaoju Mao "A new image segmentation method based on partial adaptive thresholds", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331N (29 August 2016); https://doi.org/10.1117/12.2244662

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