Title :
Leukocytes Image Segmentation and Extraction Based On Mathematical Morphology
Author :
Shengzhong, Sha ; Guirong, Weng ; Shuwei, Qin
Author_Institution :
Soochow Univ., Suzhou
Abstract :
Leukocytes image segmentation and extraction based on mathematical morphology. Its aim is to segment and extract the leukocytes, nucleus, cytoplasm and background, even in the case of closely clustered cells. This procedure gets a more accurate borderline of the interesting areas. The experiment shows that this processing method is effective and feasible.
Keywords :
cellular biophysics; feature extraction; image segmentation; mathematical morphology; medical image processing; cytoplasm; image extraction; leukocytes image segmentation; mathematical morphology; nucleus; Image segmentation; Morphology; White blood cells; Image Segmentation; Leukocytes; Mathematical Morphology;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346907
