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 hsitogram.
Author Sani Muhamad Isa, Yoga Pradana;
Publisher Proceedings konferensi nasional sistem & informatika 2008 (KNS&I) INNA Sindhu beach hotel 15 November 2008
Subject Flower image retrieval, flower image characterization, Region-of-Interest (ROI), Color Features, Shape Features.
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-370 TERSEDIA
Tidak ada review pada koleksi ini: 47406
Abstract- Flower image retrieval plays important role in automatic species recognition. In this paper we use segmentation based method on color clustering and domain knowledge two extract flower regions. Color moments of flower region are used to characterize the colour feature. In characterizing shape feature, we use Centroid color distance (CCD) and angle code histogram (ACH). Experimental results showed that clustering based flower region extraction method can produce good accuracy. Flower retrieval results in 16 species of flower images where yyy species gave the maximum 89% accuracy.