Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM-370
Collection Type Indeks Artikel prosiding/Sem
Title Flower Image Retrieval Berdasarkan Color Moments Centroid-Contour Distance, Dan Angle Code Histrogram (hal 321-327)
Author
Publisher Proceedings konferensi nasional sistem & informatika 2008 (KNS&I) INNA Sindhu beach hotel 15 November 2008
Subject
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-370 TERSEDIA
Tidak ada review pada koleksi ini: 45966
Flower image retrieval plays important role in automatic species recognation. In this paper we use segmentation based method on color clustering and domain knowledge to extract flower regions. Color Moments of flower region are used to characterize the color feature. In characterizing shape feature, we use centroid color distance (CCD) and angle code histogram (ACH). Experimental result showed that clustering based flower region extraction method can produce good accuracy. Flower retrieval result in 16 species of flower images where yyy species gave the maximum 89% accuracy. Keywords: Flower Image Retrieval, Flower Image Characterization, Region-Of-Interest (ROI), Color Features, Shape Features