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Chaotic fitness-dependent quasi-reflected Aquila optimizer for superpixel based white blood cell segmentation
artificial intelligence
machine learning
digital image processing
cnn
ann
data science
clustering
Chaotic fitness-dependent quasi-reflected Aquila optimizer for superpixel based white blood cell segmentation

Chaotic fitness-dependent quasi-reflected Aquila optimizer for superpixel based white blood cell segmentation

KG Dhal, R Rai, A Das, S Ray, D Ghosal, R Kanjilal, Neural Computing and Applications, 2023

Concrete Crack Segmentation Using Histogram Based Fast Clustering and Morphological Operators
image segmentation
artificial intelligence
clustering
digital image processing
data science
Concrete Crack Segmentation Using Histogram Based Fast Clustering and Morphological Operators

Concrete Crack Segmentation Using Histogram Based Fast Clustering and Morphological Operators

D Ghosal, R Kanjilal, PP Roy, A Nayek, S Dutta, KG Dhal, International Symposium on Artificial Intelligence, 2022

A comparative study among clustering techniques for leaf segmentation in rosette plants
image segmentation
matlab
ann
unsupervised learning
digital image processing
A comparative study among clustering techniques for leaf segmentation in rosette plants

A comparative study among clustering techniques for leaf segmentation in rosette plants

D Ghosal, A Das, KG Dhal, Pattern Recognition and Image Analysis, 2022

Leaf Segmentation of Rosette Plants using Rough K-Means in CIELab Color Space
unsupervised learning
digital image processing
clustering
data science
Leaf Segmentation of Rosette Plants using Rough K-Means in CIELab Color Space

Leaf Segmentation of Rosette Plants using Rough K-Means in CIELab Color Space

Segmentation of Plant Images plays an important role in modern agriculture where it can provide accurate analysis of a plant’s growth and possible ano...

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