Specifications

Publisher: Advanced Institute of Convergence Information Technology, Myoungbo Bldg

3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of

Abstract: The color texture is an important information in the image recognition. In this

paper, we put forward a new method to extract the color image texture. Firstly, we choose the

suitable color space for improve recognition rate of color texture. Secondly, we combination

GLCM(Gray Level Cooccurrence Matrix)with Gabor filtering to extract the color image texture.

Finally, we used the SVM(Support Vector Machine)classifier to verify the correct of the method

we proposed, the method can distinguish real and false between RMB, Tests show that the

accuracy is 98.18%.

Number of references: 10

Main heading: Textures

Controlled terms: Color - Color image processing - Image enhancement - Image

recognition - Image texture - Support vector machines

Uncontrolled terms: Color images - Color space - Color textures - Gabor -

Gabor filtering - GLCM - Gray level co-occurrence matrix - Recognition rates -

SVM(support vector machine) - Texture recognition

Classification code: 723 Computer Software, Data Handling and Applications - 723.2

Data Processing and Image Processing - 741.1 Light/Optics - 933 Solid State Physics

DOI: 10.4156/ijact.vol4.issue21.67

Database: Compendex

27.

Accession number: 20130515975235

Title: The development of a one-parameter model for the soil-water characteristic curve

in loess gully regions

Authors: Song, XiaoYu1 ; Li, HuaiYou2 ; Shi, WenJuan1/宋孝玉;李怀有;史文娟

Author affiliation:

1 Northwest Key Laboratory of Water Resource and Environment Ecology, Ministry of

Education, Xi'an University of Technology, Xi'an, Shaanxi 710048, China

2 Xifeng Experiment Station of soil and water conservation, Yellow River conservancy

committee, Xifeng, Gansu 745000, China

Corresponding author: Song, X. (songxy@xaut.edu.cn)

Source title: Applied Mechanics and Materials

Abbreviated source title: Appl. Mech. Mater.

Volume: 256-259

Issue: PART 1

Monograph title: Advances in Civil Engineering II

Issue date: 2013

Publication year: 2013

Pages: 488-493

Language: English

ISSN: 16609336

E-ISSN: 16627482

ISBN-13: 9783037855652