Prakash S. Hiremath

According to our database1, Prakash S. Hiremath authored at least 12 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Identification of region of interest for assessment of knee osteoarthritis in radiographic images.
Int. J. Medical Eng. Informatics, 2021

Behavioral Biometric Data Analysis for Gender Classification Using Feature Fusion and Machine Learning.
Frontiers Robotics AI, 2021

2020
Illumination and Rotation Invariant Texture Representation for Face Recognition.
Int. J. Comput. Vis. Image Process., 2020

Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments.
Frontiers Robotics AI, 2020

Osteoarthritis Detection in Knee Radiographic Images Using Multiresolution Wavelet Filters.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2020

2018
WT and PDE Approach for Forest Species Recognition in Macroscopic Images.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

2017
Multiresolution LDBP descriptors for texture classification using anisotropic diffusion with an application to wood texture analysis.
Pattern Recognit. Lett., 2017

Performance Analysis of Anisotropic Diffusion Based Colour Texture Descriptors in Industrial Applications.
Int. J. Comput. Vis. Image Process., 2017

Texture Representation Using Galois Field for Rotation Invariant Classification.
Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017

2016
Industrial Applications of Colour Texture Classification Based on Anisotropic Diffusion.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2016

2014
RGB - Based Color Texture Image Classification Using Anisotropic Diffusion and LDBP.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2014

2008
Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image.
Pattern Recognit. Lett., 2008


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