Title :
Segmentation of blood smear images using normalized cuts for detection of malarial parasites
Author :
Mandal, Subhamoy ; Kumar, Amit ; Chatterjee, J. ; Manjunatha, M. ; Ray, Ajoy K.
Author_Institution :
Sch. of Med. Sci. & Technol., Indian Inst. of Technol., Kharagpur, India
Abstract :
This paper presents an optimized normalized cut method for segmentation of RBCs infected with malarial parasites using peripheral blood smears. The algorithm is applied over various color spaces to find its optimal performance for microscopic blood smear images. We tested the efficacy of results in RGB, YCbCr, HSV and NTSC using the Rand´s Index. The work is useful in telepathology applications and can automate the screening of malaria in rural areas where healthcare manpower is limited.
Keywords :
biomedical optical imaging; blood; diseases; graph theory; health care; image colour analysis; image segmentation; medical image processing; Rand index; color space; healthcare; image segmentation; malaria screening; malarial parasite; microscopic blood smear image; optimized normalized cut method; peripheral blood smear; rural area; Algorithm design and analysis; Blood; Diseases; Image color analysis; Image segmentation; Microscopy; Partitioning algorithms; Color Image Processing; Image Processing; Medical Imaging; Normalized Cuts; Segmentation;
Conference_Titel :
India Conference (INDICON), 2010 Annual IEEE
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-9072-1
DOI :
10.1109/INDCON.2010.5712739
