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Dhiraj Manohar Dhane
Researcher at Indian Institute of Technology Kharagpur
Publications - 13
Citations - 308
Dhiraj Manohar Dhane is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Segmentation & Spectral clustering. The author has an hindex of 5, co-authored 12 publications receiving 196 citations. Previous affiliations of Dhiraj Manohar Dhane include Indian Institutes of Technology & Indian Institutes of Information Technology.
Papers
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Journal ArticleDOI
A review of recent advances in lane detection and departure warning system
TL;DR: An overview of current LDW system is provided, describing in particular pre-processing, lane models, lane de Ntection techniques and departure warning system.
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Fuzzy spectral clustering for automated delineation of chronic wound region using digital images.
Dhiraj Manohar Dhane,Maitreya Maity,Tushar Mungle,Chittaranjan Bar,Arun Achar,Maheshkumar H. Kolekar,Chandan Chakraborty +6 more
TL;DR: A novel method for ulcer boundary demarcation and estimation, using optical images captured by a hand-held digital camera, and the fuzzy spectral clustering (FSC) method was applied on Db color channel for effective delineation of wound region.
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Spectral Clustering for Unsupervised Segmentation of Lower Extremity Wound Beds Using Optical Images
Dhiraj Manohar Dhane,Vishal Krishna,Arun Achar,Chittaranjan Bar,Kunal Sanyal,Chandan Chakraborty +5 more
TL;DR: The proposed spectral clustering approach for clustering involves construction of similarity matrix of Laplacian based on Ng-Jorden-Weiss algorithm and shows the robustness of tool for ulcer perimeter measurement and healing progression.
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An Ensemble Rule Learning Approach for Automated Morphological Classification of Erythrocytes
TL;DR: This approach shows the robustness of proposed strategy for erythrocytes classification into abnormal and normal class, and clarifies its latent quality to be incorporated in point of care technology solution targeting a rapid clinical assistance.
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Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach
TL;DR: The article describes the design and development of a web-based distributed healthcare management system for medical information and quantitative evaluation of microscopic images using machine learning approach for malaria.