Color Based HDR Image Retrieval using HSV Histogram and Color Moments
| Autor: | Raoua Khwildi, Azza Ouled Zaid |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Color histogram
Computer science business.industry Search engine indexing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology HSL and HSV Euclidean distance Colors of noise 020204 information systems Histogram 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business Image retrieval High dynamic range ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | AICCSA |
| DOI: | 10.1109/aiccsa.2018.8612851 |
| Popis: | In this work, we address the problem of efficiently and accurately retrieving High Dynamic Range (HDR) images and displaying the retrieval results in Standard Dynamic Range (SDR) devices. The proposed approach considers a set of global descriptors for modeling an HDR image using vector of features that combines two color attributes: the color histogram based on the Hue-Saturation-Value (HSV) space and the color moments. The dissimilarity between images is measured using Manhattan distance. To evaluate the effectiveness of our retrieval system and conduct our tests, we created a collection of various HDR images. Experimental results demonstrate that the proposed method yields satisfactory results. It can accurately retrieve the similar HDR images. Moreover, we applied our retrieval method on Low Dynamic Range (LDR) version of the same dataset. The comparisons confirm that the features extracted from HDR images are more effective than those extracted from LDR ones. |
| Databáze: | OpenAIRE |
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