Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/45594
Title: Metode pengindeksan geometric hashing untuk content based image retrieval
Other Titles: Jurnal Ilmu Komputer Vol 5. No 2 Tahun 2007
Authors: Firmansyah, Eden
Herdiyeni, Yeni
Ardiansyah, Firman
Issue Date: 2007
Publisher: IPB (Bogor Agricultural University)
Abstract: This research proposes implementation and evaluation of geometric hashing for content based image retrieval as indexing method. Content based image retrieval (CBIR) is the application of computer vision to the image retrieval problem, that is, the problem of searching for digital images in databases. Content based image retrieval, uses the visual content of an image such as color, shape and texture to represent and index the image. The goal of most computer vision research is system should be able to recognize object in an image that are partially occluded or have undergone geometric transformations. Geometric hashing is an indexing method that recognized objects will invariant to geometric transformation (such as translation, rotation, and scaling). This research uses interest points to indicate the local features of an image and represent the shape of object in image. Thus, small region around interest points are selected as image patch for measure the color properties as feature vector. This research uses shape and color as visual features.
URI: http://repository.ipb.ac.id/handle/123456789/45594
Appears in Collections:Jurnal Ilmu Komputer

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