A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation

• A new fuzzy method is introduced to segment leukocytes in blood smear images.• Interval-valued intuitionistic fuzzy set is generated by minimizing ultrafuzziness.• Similarity between ideally thresholded and the segmented images are computed.• Best threshold is obtained by maximizing similarity.• Experimentally proven that the proposed method is better than other fuzzy methods.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research