Open Access
Volume 36, Number 4, August 2018
Page(s) 742 - 747
Published online 24 October 2018
  1. Kanimozhi T, Latha K. A Meta-Heuristic Optimization Approach for Content Based Image Retrieval Using Relevance Feedback Method[J]. Lecture Notes in Engineering & Computer Science, 2013, 2205(1): 775-780 [Article] [Google Scholar]
  2. Feng L, Wu J, Liu S, et al. Global Correlation Descriptor:a Novel Image Representation for Image Retrieval[J]. Journal of Visual Communication & Image Representation, 2015, 33: 104-114 [Article] [CrossRef] [Google Scholar]
  3. Ashraf R, Bashir K, Irtaza A, et al. Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions[J]. Entropy, 2015, 17(6): 3552-3580 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  4. Alkhawlani M, Elmogy M, Hazem M, et al. Content-Based Image Retrieval Using Local Features Descriptors and Bag-of-Visual Words[J]. International Journal of Advanced Computer Science & Applications, 2015, 6(9): 212-219 [Article] [CrossRef] [Google Scholar]
  5. Chatbri Houssem, Kameyama Keisuke, Kwan Paul. Towards a Segmentation and Recognition-Free Approach for Content-Based Document Image Retrieval of Handwritten Queries[C]//IEEE Asian Conference on Pattern Recognition, 2016: 146–150 [Google Scholar]
  6. Badawi U A, Alsmadi M K S. A Hybrid Memetic Algorithm(Genetic Algorithm and Tabu Local Search) with Back-Propagation Classifier for Fish Recognition[J]. International Review on Computers & Software, 2013, 8(6): 1287-1293 [Article] [Google Scholar]
  7. Chathurika K, Jayasinghe P. A Revised Averaging Algorithm for an Effective Feature Extraction in Component-Based Image Retrieval System[C]//Advance Computing Conference, 2015: 1153-1157 [Article] [Google Scholar]
  8. Kobayashi K, Chen Q. Image Retrieval Using Features in Spatial and Frequency Domains Based on Block-Division[C]//International Conference on Computational Science and Computational Intelligence, 2016: 448-453 [Article] [Google Scholar]
  9. Dubey S R, Singh S K, Singh R K. Local Diagonal Extrema Pattern:A New and Efficient Feature Descriptor for CT Image Retrieval[J]. IEEE Signal Processing Letters, 2015, 22(9): 1215-1219 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  10. Gu Xiaodong, Yang Cheng. Application of New Color Similarity Measurement Method in Image Retrieval[J]. Chinese Journal of Scientific Instrument, 2014, 35(10): 2286-2292 (in Chinese) [Article] [Google Scholar]

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