A Novel Approach for Image Retrieval Based on ROI and Multifeatures Using Genetic Algorithm

  • K. S. Md. Musa Mohinuddin
  • P. Subbaiah
  • S. Tipu Rahaman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)


The need for efficient Image Retrieval has increased tremendously in many application areas and in addition to it the present day images are extremely varied with lot of information. Hence the problem of Image Retrieval has grown further complex. Implementing CBIR based on single feature like color, texture or shape does not produce satisfactory results. In our proposed approach, the retrieval is carried out on the user selected region i.e., ROI (Region – Of – Interest) followed by evaluating the low level features. These multi-features are fused based on the similarity score and the fitness function is evaluated by the Genetic Algorithm (GA). In GA the weights of similarity score are optimally assigned. The Corel databases of 1000 images are considered in which image retrieval is done for actual and ROI image. The performance is evaluated by the parameters recall rate and precision rate. From the obtained results, it is evident that our proposed approach outperforms traditional methods.


Genetic Algorithm Similarity Score Image Retrieval Query Image Precision Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2013

Authors and Affiliations

  • K. S. Md. Musa Mohinuddin
    • 1
  • P. Subbaiah
    • 2
  • S. Tipu Rahaman
    • 1
  1. 1.Vaagdevi Institute of Technology and ScienceJNTUA UniversityProddaturIndia
  2. 2.Acharya College of EngineeringJNTUA UniversityBadvelIndia

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