Color and Texture Features for Image Indexing and Retrieval

Author

Murala, Subrahmanyam ; Gonde, Anil Balaji ; Maheshwari, Rudra Prakash

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee

fYear

2009

fDate

6-7 March 2009

Firstpage

1411

Lastpage

1416

Abstract

The novel approach combines color and texture features for content based image retrieval (CBIR). The color and texture features are obtained by computing the mean and standard deviation on each color band of image and sub-band of different wavelets. The standard Wavelet and Gabor wavelet transforms are used for decomposing the image into sub-bands. The retrieval results obtained by applying color histogram (CH) + Gabor wavelet transform(GWT) to a 1000 image database demonstrated significant improvement in precision and recall, compared to the color histogram (CH), wavelet transform (WT), wavelet transform + color histogram (WT + CH) and Gabor wavelet transform (GWT).

Keywords

Gabor filters; content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; indexing; visual databases; wavelet transforms; Gabor filter; color feature extraction; content based image retrieval; image database; image indexing; mean standard deviation; texture feature extraction; wavelet transform; Content based retrieval; Feature extraction; Frequency; Histograms; Image databases; Image retrieval; Indexing; Information retrieval; Shape; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference, 2009. IACC 2009. IEEE International

Conference_Location

Patiala

Print_ISBN

978-1-4244-2927-1

Electronic_ISBN

978-1-4244-2928-8

Type

conf

DOI

10.1109/IADCC.2009.4809223

Filename

4809223