Sea-land segmentation is an important process for many key applications in remote sensing.
Proper operative sea-land segmentation for remote sensing images remains a challenging …

Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search method is computationally expensive for selecting the …

The aim of this study was to explore the feasibility of Raman spectroscopy combined with
computer algorithms in the diagnosis of primary Sjögren syndrome (pSS). In this study …

Multilevel image thresholding is a well-known technique for image segmentation. Recently,
various metaheuristic methods have been proposed for the determination of the thresholds …

In order to realize the multilevel thresholding segmentation of color satellite images, a multi-
strategy emperor penguin optimizer (called MSEPO) is proposed to find the optimal …

Humans have always been inspired by their environment to solve their problems. When it
directly imitates the behavior of living things, it is called biomimicry. Biomimicry seeks to …

Thermal images suffer from low-luminance issues under specific conditions, such as heat
radiation, distance-to-radiated objects, reflection angles. Low-luminance thermal images …

Multilevel thresholding is a very active research field in image segmentation, and has been
successfully used in various applications. However, the computational time will increase …

Aiming at solving the problems of complex image background and difficulties in the later
image segmentation, an image segmentation algorithm based on the chaotic particle swarm …