TEXTURE CLASSIFICATION BASED ON BIDIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND LOCAL BINARY PATTERN
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 9
Abstract
This paper presents a new simple and robust texture analysis feature based on Bidimensional Empirical Mode Decomposition (BEMD) and Local Binary Pattern (LBP). BEMD is a locally adaptive decomposition method and suitable for the analysis of nonlinear or nonstationary signals. Texture images are decomposed to several Bidimensional Intrinsic Mode Functions (BIMFs) by BEMD, which present a new set multi-scale components of images. In our approach, firstly, saddle points are added as supporting points for interpolation to improve original BEMD, and then images are decomposed by the new BEMD to several components (BIMFs). After then, Local Binary Pattern (LBP) in different sizes is used to detect features from different BIMFs. At last, normalization and BIMFs selection method are adopted for features selection. The proposed feature presents invariant while preserving LBP’s simplicity. Our method has also been evaluated in CuRet and KTH-TIPS2a texture image databases. It is experimentally demonstrated that the proposed feature achieves higher classification accuracy than other state-of-theart texture representation methods, especially in small training samples condition.
Authors and Affiliations
JianJia Pan, YuanYan Tang
Keywords
Related Articles
- EP ID EP136102
- DOI 10.14569/IJACSA.2013.040933
- Views 118
- Downloads 0
Phishing Websites Detection using Machine Learning
Tremendous resources are spent by organizations guarding against and recovering from cybersecurity attacks by online hackers who gain access to sensitive and valuable user data. Many cyber infiltrations are accomplished...
Forensic Analysis of Docker Swarm Cluster using Grr Rapid Response Framework
An attack on Internet network does not only hap-pened in the web applications that are running natively by a web server under operating system, but also web applications that are running inside container. The currently p...
Modeling House Price Prediction using Regression Analysis and Particle Swarm Optimization Case Study : Malang, East Java, Indonesia
House prices increase every year, so there is a need for a system to predict house prices in the future. House price prediction can help the developer determine the selling price of a house and can help the customer to a...
Robust Image Watermarking using Fractional Sinc Transformation
The increased utilization of internet in sharing and dissemination of digital data makes it is very difficult to maintain copyright and ownership of data. Digital watermarking offers a method for authentication and copyr...
A Survey on Smartphone-Based Accident Reporting and Guidance Systems
Every day, around the world, a large percentage of people die from road accidents and falls. One of the reasons for a person's death during accidents is the unavailability of first aid, due to the delay in informing abou...