K
Krishna Gopal Dhal
Researcher at Midnapore College
Publications - 65
Citations - 918
Krishna Gopal Dhal is an academic researcher from Midnapore College. The author has contributed to research in topics: Computer science & Image segmentation. The author has an hindex of 11, co-authored 44 publications receiving 408 citations. Previous affiliations of Krishna Gopal Dhal include Kalyani Government Engineering College & University of Calcutta.
Papers
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A Survey on Nature-Inspired Optimization Algorithms and Their Application in Image Enhancement Domain
TL;DR: This study presents an up-to-date review over the application of NIOAs in image enhancement domain and the key issues which are involved in the formulation of NioAs based image enhancement models are discussed here.
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Nature-Inspired Optimization Algorithms and Their Application in Multi-Thresholding Image Segmentation
TL;DR: This study presents an up-to-date review on all most important NIOAs employed in multi-thresholding based image segmentation domain and the key issues which are involved during the formulation of NioAs based image multi-Thresholding models are discussed.
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Histogram Equalization Variants as Optimization Problems: A Review
TL;DR: This study presents an up-to-date review over the application of NIOAs for HE variants in image enhancement domain and the main issues which are involved in the application.
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Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering
TL;DR: In this article, a histogram based fuzzy clustering (HBFC) technique using an improved version of Firefly Algorithm (FA) is presented, which involves three search strategies: rough set-based population, random attraction and local search mechanism.
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Acute lymphoblastic leukemia image segmentation driven by stochastic fractal search
TL;DR: The Stochastic Fractal Search (SFS) algorithm is implemented in order to provide non-false positive segmented outcomes for Leukemia identification and is compared against traditional clustering methods as well as some NIOAs techniques.