In view of the slow convergence speed of traditional particle swarm optimization algorithms,
which makes it easy to fall into local optimum, this paper proposes an OTSU multi-threshold …

Aiming at the problems of low optimization accuracy and slow convergence speed of Satin
Bowerbird Optimizer (SBO), an improved Satin Bowerbird Optimizer (ISBO) based on …

Image processing is a continuously evolving field, and due to the fact that color images
contain more information than grayscale images and are the most encountered type of …

Diabetic Retinopathy (DR) is one of the major causes of blindness. Many DR detection
systems were developed to segment and determine the type and number of lesions that …

This letter explores a plug-in estimator of second-order Tsallis entropy based on Kernel
Density Estimation (KDE) and its implicit regularization process. First, it is shown that the …

This study was aimed at enhancing pothole detection by combining sigmoid calibration
function and entropy thresholding segmentation on UAV multispectral imagery. UAV …

Objective The integration of fuzzy entropy into image segmentation techniques has proven
effective in addressing issues related to ambiguous boundaries and uncertainties in …

Image segmentation is an initial task in many vision-based systems and plays an important
role in the processes of image analysis, target recognition and tracking, and image …

Super-resolution microscopy techniques such as single molecule localization microscopy
(SMLM), have revolutionized nanoscale imaging of biological specimens. Accurate …

Star trackers are susceptible to interference from stray light, such as sunlight, moonlight, and
Earth atmosphere light, in the space environment, resulting in an overall improvement in the …