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Hybrid Compression of Cervical Images by Segmenting Nuclei-Cytoplasm


Affiliations
1 Department of Computer Science, Nesamony Memorial Christian College, India
2 Sadakathullah Appa College, India
3 Department of Statistics, Manonmaniam Sundaranar University, India
     

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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.

Keywords

Edge Detection, Segmentation, Image Compression.
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  • Hybrid Compression of Cervical Images by Segmenting Nuclei-Cytoplasm

Abstract Views: 260  |  PDF Views: 0

Authors

Jacob Vetha Raj
Department of Computer Science, Nesamony Memorial Christian College, India
M. Mohamed Sathik
Sadakathullah Appa College, India
K. Senthamarai Kannan
Department of Statistics, Manonmaniam Sundaranar University, India

Abstract


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.

Keywords


Edge Detection, Segmentation, Image Compression.