Authors:

Ni Putu Chendy Widya Santi, I Ketut Gede Darma Putra, I Made Sunia Raharja

Abstract:

“Content Based Image Retrieval (CBIR) is a technique for searching images from database based on information from the image which developed because the technique based on text-based is less effective for represent an image. CBIR skin disease in this research use 12 sample of skin disease images such as Acne, Acropustulosis, Alopecia, Dermatitis, Hemangioma, Herpes, Ichtyosis, Molluscum, Nummular, Skin Tag, Urticaria, and Vitiligo. Method use for this research is for extraction texture feature and color feature from a skin disease image. Texture feature is using co-occurrence Matrix which compute energy, contrast, entropy, homogeneity, and correlation until vector texture result. Extraction color use color moments to compute color space using three moments which result color feature from color distributions such as mean, standard deviation, and skewness. Final result showed the comparison of similarity computation of two methods is the acuration of Color Moments method is more robust than Co-occurrence Matrix Method for skin disease images.”

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PDF:

https://jurnal.harianregional.com/merpati/full-33184

Published

2017-08-29

How To Cite

SANTI, Ni Putu Chendy Widya; PUTRA, I Ketut Gede Darma; RAHARJA, I Made Sunia. CBIR Penyakit Kulit dengan Metode Co-Occurrence Matrix dan Color Moments.Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), [S.l.], p. 62-71, aug. 2017. ISSN 2685-2411. Available at: https://jurnal.harianregional.com/merpati/id-33184. Date accessed: 08 Jul. 2024. doi:https://doi.org/10.24843/JIM.2017.v05.i02.p07.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol. 5, No. 2 Agustus 2017

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License