Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2013 (Vol. 5, Issue: 20)
Article Information:

Kernel Selection of SVM for Commerce Image Classification

Lou Xiongwei and Huang Decai
Corresponding Author:  Lou Xiongwei 

Key words:  Commerce image classification, kernel selection, SVM, , , ,
Vol. 5 , (20): 4850-4856
Submitted Accepted Published
September 22, 2012 November 12, 2012 May 15, 2013

Content-based image classification refers to associating a given image to a predefined class merely according to the visual information contained in the image. In this study, we employ SVM (Support Vector Machine) and presented a few kernels specifically designed to deal with the problem of content-based image classification. Several common kernel functions are compared for commerce image classification with the PHOW (Pyramid Histogram of visual Words) descriptors. The experiment results illustrate that chi-square kernel and histogram intersection kernel are more effective with the histogram based image descriptor for commerce image classification.
Abstract PDF HTML
  Cite this Reference:
Lou Xiongwei and Huang Decai, 2013. Kernel Selection of SVM for Commerce Image Classification.  Research Journal of Applied Sciences, Engineering and Technology, 5(20): 4850-4856.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved