Content Based Image Retrieval Methods Using Graphical Image Retrieval Algorithm (GIRA)

Journal

Identifier	`--pjayaprabh-731`
Penulis / Pengarang	P.Jayaprabha, Rm.Somasundaram
Kata Kunci	CBIR Multimedia information systems image retrieval relevance feedback Image feature extraction Image analysis Image search Image similarity
Tanggal Publikasi	08 Jan 2012
Bahasa	Bahasa Indonesia
Abstrak / Deskripsi	This document gives a brief description of a system developed for retrieving images similar to a query image from a large set of distinct images. It follows an image segmentation based approach to extract the different features present in an image. These features are stored in vectors called feature vectors and compared to the feature vectors of query image and thus, the image database is sorted in decreasing order of similarity. Different from traditional dimensionality reduction algorithms such as Principal Component Analysis (PCA) and Linear Discriminate Analysis (LDA), which effectively see only the global Euclidean structure, GIRA is designed for discovering the local manifold structure. Therefore, GIRA is likely to be more suitable for image retrieval, where nearest neighbor search is usually involved. After projecting the images into a lower dimensional subspace, the relevant images get closer to the query image; thus, the retrieval performance can be enhanced.

Attached Files / Download (1)

No	Nama Berkas	Format	Ukuran	Aksi
1	vol2no1_4.pdf This document gives a brief description of a system developed for retrieving images similar to a query image f…	application/pdf	304,9 KB	⬇️ Buka / Download

Belum ada komentar untuk koleksi ini. Jadilah yang pertama berdiskusi!