RANCANG BANGUN SISTEM TEMU KEMBALI GAMBAR IKAN BERDASARKAN ESTRAKSI CIRI WARNA HSV, BENTUK CANNY DAN TEKSTUR ORDE DUA
ABSTRACT: Image retrieval
system originally based on the text in the image retrieval process, but the
system of the text -based image retrieval is not optimal because it takes a
long time to give a description of each file and the human perception varies in
interpreting or annotate an image so that the image retrieval based on queries
the text is not in accordance with the desired. Therefore, the necessary image
retrieval system that uses information characteristics (color, shape and
texture) of the image itself. Ornamental fish is an animal that has a kind of
very much other than it has a unique ornamental fish also varied, unique
ornamental fish can be seen from the color, shape and texture are very diverse.
Image retrieval system for ornamental fish characteristic information using HSV
histograms for color feature extraction, canny method to obtain information
form and order two static methods to obtain texture information. Test results
using recall and precision for image retrieval based on color feature extraction
generate an average value of 100 %, the image search based on shape feature
extraction generate an average value of 90 %, the image search based on texture
feature extraction generate an average value of 90 % and Search Extraction
characteristics of the image based on a combination of color, shape and texture
generate an average value of 90 %.
KEYWORDS: The Canny shape
feature, The HSV color feature, The second orde statistic method of texture
feature, Fish Content based image retrieval
Penulis: Lestari Handayani
Kode Jurnal: jptindustridd160235
