Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art
Recent advances in airborne and spaceborne hyperspectral imaging technology have
provided end users with rich spectral, spatial, and temporal information. They have made a …
provided end users with rich spectral, spatial, and temporal information. They have made a …
A survey on spectral–spatial classification techniques based on attribute profiles
Just over a decade has passed since the concept of morphological profile was defined for
the analysis of remote sensing images. Since then, the morphological profile has largely …
the analysis of remote sensing images. Since then, the morphological profile has largely …
Covid-19 outbreak prediction with machine learning
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …
world to make informed decisions and enforce relevant control measures. Among the …
Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation
Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …
recent years since it has many applications. There are several methods used to find the …
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …
the body parts that indicate an abnormal change in temperature. Various segmentation …
Applications of fractional calculus in computer vision: a survey
Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
An efficient Harris hawks-inspired image segmentation method
Segmentation is a crucial phase in image processing because it simplifies the
representation of an image and facilitates its analysis. The multilevel thresholding method is …
representation of an image and facilitates its analysis. The multilevel thresholding method is …
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy
The objective of image segmentation is to extract meaningful objects. A meaningful
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques
Objectives Liver cancer is one of the leading cause of death in all over the world. Detecting
the cancer tissue manually is a difficult task and time consuming. Hence, a computer-aided …
the cancer tissue manually is a difficult task and time consuming. Hence, a computer-aided …
Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
Magnetic resonance imaging (MRI) is effectively used for accurate diagnosis of acute
ischemic stroke. This paper presents an automated method based on computer aided …
ischemic stroke. This paper presents an automated method based on computer aided …