All Stories

  1. Attention learning models using local Zernike moments-based normalized images and convolutional neural networks for skin lesion classification
  2. An Intuitionistic Fuzzy C-Means and Local Information-Based DCT Filtering for Fast Brain MRI Segmentation
  3. Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture
  4. A hybrid UNet based approach for crop classification using Sentinel-1B synthetic aperture radar images
  5. A kernelized-bias-corrected fuzzy C-means approach with moment domain filtering for segmenting brain magnetic resonance images
  6. A novel approach for brain MRI segmentation and image restoration under intensity inhomogeneity and noisy conditions
  7. Improving accuracy of convolutional neural network-based skin lesion segmentation using group normalization and combined loss function
  8. Color face recognition using normalized-discriminant hybrid color space and quaternion moment vector features
  9. A hybrid algorithm for speckle noise reduction of ultrasound images
  10. A new convolution model for the fast computation of Zernike moments
  11. Invariant moments and transform-based unbiased nonlocal means for denoising of MR images
  12. Image adaptive and high-capacity watermarking system using accurate Zernike moments
  13. Geometrically invariant and high capacity image watermarking scheme using accurate radial transform
  14. A high capacity image adaptive watermarking scheme with radial harmonic Fourier moments
  15. Rotation invariant moments and transforms for geometrically invariant image watermarking