Ekstraksi Fitur Warna, Tekstur dan Bentuk untuk Clustered-Based Retrieval of Images (CLUE)
ABSTRACT: Picture (image) is a
media that used for storing visual data, for example, two-dimensional images
are often used to store an incident. Images on the internet media growth very
rapidly. There are a lot of image, video, text or other content on the
Internet. Image Index and image retrieval again become a topic of research in
the last decade in which concentrated on how to get the meaning of an
information contained in an image. Three methods outlined in the search for an
image, the text-based image retrieval, content-based image retrieval and
indexing images in the order of language. This study focuses on the preparation
of the features of an image based on color and texture. Features colors using
the average value of Hue image, texture features using Gray Level occurance
Matrix (GLCM). Color, texture, and shape extraction technique resulted in
eighteen (18) feature that can be used as features in the process of
Clustering.
Kata Kunci: Ektraksi Fitur Warna, Ektraksi Fitur Tekstur, Ektraksi Fitur
Bentuk, Gray Level Occurance Matrix, ClusteredBased Retrieval of Images
Penulis: I Gusti Rai Agung
Sugiartha
Kode Jurnal: jptlisetrodd170038
