Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur
| Autor: | Dian Felita Tanoto, Yovita Tunardi, Rita Layona |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Color histogram
lcsh:T Color image business.industry Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition General Medicine Content-based image retrieval lcsh:Technology Automatic image annotation CBIR Color Histogram SIFT Gabor Image texture lcsh:TA1-2040 Computer vision Relevance (information retrieval) Visual Word Artificial intelligence lcsh:Engineering (General). Civil engineering (General) business Image retrieval |
| Zdroj: | ComTech, Vol 5, Iss 2, Pp 1073-1085 (2014) |
| ISSN: | 2476-907X 2087-1244 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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