MATLAB PROJECT 2017-2018

IEEE MATLAB PROJECT TITLES 2017-2018

 

  1. Fusion Similarity-Based Re-ranking for SAR Image Retrieval
  2. Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
  3. Semi-supervised Online Multi-kernel Similarity Learning for Image Retrieval
  4. Learning Short Binary Codes for Large-scale Image Retrieval
  5. Retrieval Compensated Group Structured Sparsity for Image Super-Resolution
  6. Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
  7. Image Piece Learning for Weakly Supervised Semantic Segmentation
  8. Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation
  9. Disjunctive Normal Parametric Level Set With Application to Image Segmentation
  10. Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
  11. Segmentation-Based Fine Registration of Very High-Resolution Multi-temporal Images
  12. Fast Multi-region Image Segmentation Using Statistical Active Contours
  13. Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over L1 -Manifold Hyper-Graph of Discriminative Image Regions
  14. Residual De-Convolutional Networks for Brain Electron Microscopy Image Segmentation
  15. Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
  16. Integrated Localization and Recognition for Inshore Ships in Large Scene Remote Sensing Images
  17. Airplane Recognition in Terra SAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation
  18. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
  19. Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image
  20. Turning Diffusion-Based Image Colorization Into Efficient Color Compression
  21. Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
  22. Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions
  23. Region-of-Interest Coding Based on Saliency Detection and Directional Wavelet for Remote Sensing Images