Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur
Along with the times, information retrieval is no longer just on textual data, but also the visual data. The technique was originally used is Text-Based Image Retrieval (TBIR), but the technique still has some shortcomings such as the relevance of the picture successfully retrieved, and the specific...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Bina Nusantara University
2014-12-01
|
| Series: | ComTech |
| Subjects: | |
| Online Access: | https://journal.binus.ac.id/index.php/comtech/article/view/2369 |
| _version_ | 1797715250411208704 |
|---|---|
| author | Rita Layona Yovita Tunardi Dian Felita Tanoto |
| author_facet | Rita Layona Yovita Tunardi Dian Felita Tanoto |
| author_sort | Rita Layona |
| collection | DOAJ |
| description | Along with the times, information retrieval is no longer just on textual data, but also the visual data. The technique was originally used is Text-Based Image Retrieval (TBIR), but the technique still has some shortcomings such as the relevance of the picture successfully retrieved, and the specific space required to store meta-data in the image. Seeing the shortage of Text-Based Image Retrieval techniques, then other techniques were developed, namely Image Retrieval based on content or commonly called Content Based Image Retrieval (CBIR). In this research, CBIR will be discussed based on color, shape and texture using a color histogram, Gabor and SIFT. This study aimed to compare the results of image retrieval with some of these techniques. The results obtained are by combining color, shape and texture features, the performance of the system can be improved. |
| first_indexed | 2024-03-12T08:04:07Z |
| format | Article |
| id | doaj.art-9d87120fed4d47f1894796aceeb01218 |
| institution | Directory Open Access Journal |
| issn | 2087-1244 2476-907X |
| language | English |
| last_indexed | 2024-03-12T08:04:07Z |
| publishDate | 2014-12-01 |
| publisher | Bina Nusantara University |
| record_format | Article |
| series | ComTech |
| spelling | doaj.art-9d87120fed4d47f1894796aceeb012182023-09-02T19:40:06ZengBina Nusantara UniversityComTech2087-12442476-907X2014-12-01521073108510.21512/comtech.v5i2.23691784Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan TeksturRita Layona0Yovita Tunardi1Dian Felita Tanoto2Bina Nusantara UniversityBina Nusantara UniversityBina Nusantara UniversityAlong with the times, information retrieval is no longer just on textual data, but also the visual data. The technique was originally used is Text-Based Image Retrieval (TBIR), but the technique still has some shortcomings such as the relevance of the picture successfully retrieved, and the specific space required to store meta-data in the image. Seeing the shortage of Text-Based Image Retrieval techniques, then other techniques were developed, namely Image Retrieval based on content or commonly called Content Based Image Retrieval (CBIR). In this research, CBIR will be discussed based on color, shape and texture using a color histogram, Gabor and SIFT. This study aimed to compare the results of image retrieval with some of these techniques. The results obtained are by combining color, shape and texture features, the performance of the system can be improved.https://journal.binus.ac.id/index.php/comtech/article/view/2369CBIR, Color Histogram, SIFT, Gabor |
| spellingShingle | Rita Layona Yovita Tunardi Dian Felita Tanoto Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur ComTech CBIR, Color Histogram, SIFT, Gabor |
| title | Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur |
| title_full | Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur |
| title_fullStr | Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur |
| title_full_unstemmed | Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur |
| title_short | Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur |
| title_sort | image retrieval berdasarkan fitur warna bentuk dan tekstur |
| topic | CBIR, Color Histogram, SIFT, Gabor |
| url | https://journal.binus.ac.id/index.php/comtech/article/view/2369 |
| work_keys_str_mv | AT ritalayona imageretrievalberdasarkanfiturwarnabentukdantekstur AT yovitatunardi imageretrievalberdasarkanfiturwarnabentukdantekstur AT dianfelitatanoto imageretrievalberdasarkanfiturwarnabentukdantekstur |