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

Segmentation is crucial in the field of computer vision. Various algorithms are available in literature for segmentation of micro array images [1], breast images [2,3] and skin images [4] and so on. Immune system protects the body from harmful bacteria, viruses and other pathogens by finding and eliminating them. Leukocytes are the primary constituent in the immune system and play a vital role in identifying and destroying while there is a pathogenic intrusion into the body. These cells are originated from a multi-potent cell in bone marrow.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research