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Enhanced Image Object Recognition system using Correlation Filter based on Optimization

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  • Atul Kumar Dwivedi
  • Babita Sahu

Abstract

Object recognition refers to finding a given object in an image or video sequence based on physical properties of the object. Object recognition has been a challenging computer vision problem with various real-world applications from a very long time. In this paper we show Object recognition by correlation filtering consists in calculation of cross correlation function between an test image and noisy query image, this work aims to bring a promising perspective for using correlation filter. In order to reduced noise and perform an optimization algorithm .Based on optimization method, correlation filter has been proposed. The proposed filter has been tested to recognize an object at different noise condition. The proposed filter has been evaluated in terms of peak to side lobe ratio (PSR) and peak to correlation energy (PCE) between the query image and test image for various noise conditions

Suggested Citation

  • Atul Kumar Dwivedi & Babita Sahu, 2017. "Enhanced Image Object Recognition system using Correlation Filter based on Optimization," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 895-900, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722293
    Note: Article URL: https://ijsrcseit.com/CSEIT1722293
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