Special Issue - NCRTCC - 16- 2016

  • 1. Harmonized meagerly model for histopathological image illustration and cataloging

    Authors : G. Elawarasi

    Pages : 17-21

    Keywords : Skin

    Abstract :

    Skin disease affect around 3% of the population worldwide. They tend to be itchy and spread over the body easily. Among them, Psoriasis is a common chronic, inflammatory skin disease characterized by scaly patches. It causes severe skin inflammation and the treatment for such cases are determined based on the severity evaluated by Psoriasis Area Severity Index (PASI) scoring system. Currently. these scores are estimated visually and hence suffers from inter and intra-observer difference. This severely affects the way, the disease is treated. Our proposed system focuses on segmentation and scaling of 2D digital images of Psoriasis. This computer assisted system removes erythematic from the selected psoriasis image and considers other skills cells for analysis and treatment. The “Feature Space Scaling Algorithm” uses color, contrast and image texture along with a combination of SVM classification filters and Markov random fields to come up with a treatment solution. the algorithm is tested with different skins under different lighting condition and is proved to be reliable.

    Citing this Journal Article :

    G. Elawarasi, "Harmonized meagerly model for histopathological image illustration and cataloging", https://www.ijltet.org/journal_details.php?id=902&j_id=3135, Special Issue - NCRTCC - 16- 2016, 17-21, #ijltetorg