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Comparative Study on CBIR based on Color Feature

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 78 - Number 16
Year of Publication: 2013
Hany Fathy Atlam
Gamal Attiya
Nawal El-fishawy

Hany Fathy Atlam, Gamal Attiya and Nawal El-fishawy. Article: Comparative Study on CBIR based on Color Feature. International Journal of Computer Applications 78(16):9-15, September 2013. Full text available. BibTeX

	author = {Hany Fathy Atlam and Gamal Attiya and Nawal El-fishawy},
	title = {Article: Comparative Study on CBIR based on Color Feature},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {78},
	number = {16},
	pages = {9-15},
	month = {September},
	note = {Full text available}


Content Based Image Retrieval (CBIR) system helps users to retrieve relevant images based on their contents. It finds images in large databases by using a unique image feature such as texture, color, intensity or shape of the object inside an image. This paper presents a comparative study between the feature extraction techniques that based on color feature. These techniques include Color Histogram, HSV Color Histogram and Color Histogram Equalization. In this study, the retrieval process is first done by measuring the similarities between the query image and the images within the WANG database using two approaches: Euclidean distance and correlation coefficients. Then, the comparison is carried out by measuring the accuracy, error rate and elapsed time of each technique.


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