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A Clothing Image Retrieval System Based on Improved Itti Model

  • Yuping Hu
  • Chunmei Wang
  • Hang Xiao
  • Sen Zhang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 849)

Abstract

Aiming at the problems of Itti visual attention model like inadequate feature extraction, complex feature synthesis process and feature incompatible with existing retrieval system, a better Itti model is proposed to improve the low-level visual features, image segmentation and interesting area in this paper. And then the improved Itti visual attention model is introduce to content based Clothing image retrieval system, the experimental results show our system has obvious advance on the accuracy of retrieval effect than the existing similar system.

Keywords

Image retrieval Texture character Image segmentation Interesting area 

Notes

Acknowledgments

This work was by Guangdong Provincial Scientific Research Fund of China (No. 2016A030313717); Natural Scientific Research Fund of China (No. 61472135).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of InformationGuangdong University of Finance and EconomicsGuangzhouChina
  2. 2.Department of Internet Finance and Information EngineeringGuangdong University of FinanceGuangzhouChina

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