Threshold estimation based on local minima for nucleus and cytoplasm segmentation.

ABSTRACT:

Background

Image segmentation is the process of partitioning an image into separate objects or regions. It is an essential step in image processing to segment the regions of interest for further processing. We propose a method for segmenting the nuclei and cytoplasms from white blood cells (WBCs).

Methods

Initially, the method computes an initial value based on the minimum and maximum values of the input image. Then, a histogram of the input image is computed and approximated to obtain function values. The method searches for the first local maximum and local minimum from the approximated function values in the order of increasing of knots sequence. We approximate the required threshold from the first local minimum and the computed initial value based on defined conditions.

SUBMITTER: Mayala S 

PROVIDER: S-EPMC9044622 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature