A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
M Abd Elaziz, AA Heidari, H Fujita, H Moayedi - Applied Soft Computing, 2020 - Elsevier
This paper presents an enhanced Harris Hawks Optimizer (HHO) to tackle global
optimization and determine the optimal threshold values for multi-level image segmentation …
optimization and determine the optimal threshold values for multi-level image segmentation …
A comparative analysis of various image segmentation techniques
In this ascension era of technology, Magnetic resonance imaging (MRI) emerges as the
utmost clinically acceptable imaging modality for detection and diagnosis of tumors. The …
utmost clinically acceptable imaging modality for detection and diagnosis of tumors. The …
Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer
Image segmentation is among the most important techniques in image processing, and
many methods have been developed to perform this task. This paper presents a new multi …
many methods have been developed to perform this task. This paper presents a new multi …
Many-objectives multilevel thresholding image segmentation using knee evolutionary algorithm
M Abd Elaziz, S Lu - Expert systems with Applications, 2019 - Elsevier
Image segmentation is one of the popular tasks in image processing that can be used in
several applications. For that, there are several methods have been proposed for image …
several applications. For that, there are several methods have been proposed for image …
Analysis of classification algorithms for plant leaf disease detection
JN Reddy, K Vinod, ASR Ajai - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Agribusiness is the essential occupation in India, that assumes a vital job in the economy of
the nation. Yearly 15.7 percentage of the crops are being lost due to attack by insect pests …
the nation. Yearly 15.7 percentage of the crops are being lost due to attack by insect pests …
Are you paying attention? Detecting distracted driving in real-time
Each year, millions of people lose their lives to fatal road accidents. An ever increasing
proportion of these accidents is due to distracted driving caused by co-passengers and …
proportion of these accidents is due to distracted driving caused by co-passengers and …
A method for quantification of vesicular compartments within cells using 3D reconstructed confocal z-stacks: comparison of ImageJ and Imaris to count early …
MK Gautier, SD Ginsberg - Journal of neuroscience methods, 2021 - Elsevier
Background Phenotypic changes in vesicular compartments are an early pathological
hallmark of many peripheral and central diseases. For example, accurate assessment of …
hallmark of many peripheral and central diseases. For example, accurate assessment of …
Rust detection using image processing via Matlab
This research attempted to create a program that is capable of detecting rust through image
processing. Image processing is known for the manipulation of image through quantizing the …
processing. Image processing is known for the manipulation of image through quantizing the …
Automated detection of brain tumor cells using support vector machine
G Birare, VA Chakkarwar - 2018 9th International Conference …, 2018 - ieeexplore.ieee.org
Over thousands of people annually, diagnosed with brain cancer. It is a primary concern to
segment, detect, and extract of infected area of tumor from magnetic resonance images but …
segment, detect, and extract of infected area of tumor from magnetic resonance images but …
Semantic segmentation of herbarium specimens using deep learning techniques
Automated identification of herbarium species is of great interest as quite a number of these
collections are still unidentified while others need to be updated following recent taxonomic …
collections are still unidentified while others need to be updated following recent taxonomic …