HYBRID COMPRESSION OF CERVICAL IMAGES BY SEGMENTING NUCLEI-CYTOPLASM

Autor:	Y. Jacob Vetha Raj, M. Mohamed Sathik, K. Senthamarai Kannan
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	Edge Detection Segmentation Image Compression Telecommunication TK5101-6720 Computer applications to medicine. Medical informatics R858-859.7
Zdroj:	ICTACT Journal on Image and Video Processing, Vol 3, Iss 2, Pp 522-525 (2012)
Druh dokumentu:	article
ISSN:	0976-9099 0976-9102
Popis:	A hybrid image compression method is proposed by which the Nuclei-Cytoplasm of the image is completely restorable and the background part of the image is restorable with insignificant loss. In Hybrid Compression of Cervical Images by Segmenting Nuclei-Cytoplasm, the image is subjected to binary segmentation to detect Background and Nuclei-Cytoplasm. The image is compressed by standard lossy compression method. The difference between the lossy image and the original image is computed as residue. The residue at the Nuclei-Cytoplasm area is compressed by standard lossless compression method by which the Nuclei-Cytoplasm area is completely restorable. This method gives a low bit rate than the lossless compression methods.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b8ba0ca2304841ccbb7e3a5a4430ef57 Zobrazit plný text záznamu View record in DOAJ