sonali dash

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Guidance Image-Based Enhanced Matched Filter with Modified Thresholding for Blood Vessel Extraction
  Symmetry 2022 DOI: 10.3390/sym14020194
  +Save
• A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation
  Diagnostics 2021 DOI: 10.3390/diagnostics11112017
  +Save
• Co-occurrence Approach Through Steerable Pyramid for Texture Classification
  Smart Innovation, Systems and Technologies 2020 DOI: 10.1007/978-981-32-9690-9_44
  +Save
• Noise robust Laws’ filters based on fuzzy filters for texture classification
  Egyptian Informatics Journal 2019 DOI: 10.1016/j.eij.2019.10.003
  +Save
• Time-frequency analysis of power quality disturbances using synchroextracting transform
  International Transactions on Electrical Energy Systems 2019 DOI: 10.1002/2050-7038.12278
  +Save
• Complex wavelet co-occurrence based on thresholding for texture classification
  Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017 2018 DOI: 10.1109/WiSPNET.2017.8299811
  +Save
• Enhancing the laws filter descriptor on DTCWT coefficients by thresholding approach for texture classification
  International Journal of Computational Vision and Robotics 2018 DOI: 10.1504/IJCVR.2018.095594
  +Save
• Gaussian pyramid based laws' mask descriptor for texture classification
  Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017 2018 DOI: 10.1109/WiSPNET.2017.8299841
  +Save
• Gray level run length matrix based on various illumination normalization techniques for texture classification
  Evolutionary Intelligence 2018 DOI: 10.1007/s12065-018-0164-2
  +Save
• Homomorphic Normalization-Based Descriptors for Texture Classification
  Arabian Journal for Science and Engineering 2018 DOI: 10.1007/s13369-017-2961-9
  +Save