Performance evaluation of color image retrieval

Performance evaluation of color image retrieval

In this paper, we have investigated the capabilities of 4 approaches for image search for a CBIR system. First two approaches are based on comparing the images using color histograms of RGB and HSV spaces, respectively. The other 2 approaches are based on two quantitative image fidelity measurements...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Mendi, E, Bayrak, C
Format: Tagungsbericht
Sprache:eng
Schlagworte:
color histogram
Dinosaurs
Feature extraction
Histograms
Image color analysis
image fidelity measurement
Image retrieval
Pixel
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Beschreibung
Zusammenfassung:In this paper, we have investigated the capabilities of 4 approaches for image search for a CBIR system. First two approaches are based on comparing the images using color histograms of RGB and HSV spaces, respectively. The other 2 approaches are based on two quantitative image fidelity measurements, Mean Square Error (MSE) and Structural Similarity Index (SSIM), which provide a degree of similarity between two images. The precision performances of approaches have been evaluated by using a public image database containing 1000 images. Finally effectiveness of retrieval has been measured for each method.
ISSN:1550-5219
2332-5615
DOI:10.1109/AIPR.2010.5759680