Nature and biologically inspired image segmentation techniques
Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …
of a set of techniques typically used to enhance the raw image obtained from different …
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss
Low-light image enhancement aims to recover normal-light images from the images
captured under very dim environments. Existing methods cannot well handle the noise, color …
captured under very dim environments. Existing methods cannot well handle the noise, color …
Opposition-based moth swarm algorithm
D Oliva, S Esquivel-Torres, S Hinojosa… - Expert Systems with …, 2021 - Elsevier
Nowadays, resource-optimizing techniques are required in many engineering areas to
obtain the most appropriate solutions for complex problems. For this reason, there is a trend …
obtain the most appropriate solutions for complex problems. For this reason, there is a trend …
A new medical image enhancement algorithm using adaptive parameters
The quality of medical images plays a vital role in many image processing applications such
as image segmentation, feature extraction, image classification, image recognition, and …
as image segmentation, feature extraction, image classification, image recognition, and …
Degradation-aware and color-corrected network for underwater image enhancement
Underwater image enhancement has played an important role in marine resource
monitoring and preservation. However, the visual quality of underwater images is degraded …
monitoring and preservation. However, the visual quality of underwater images is degraded …
A watershed-segmentation-based improved algorithm for extracting cultivated land boundaries
Y Xue, J Zhao, M Zhang - Remote Sensing, 2021 - mdpi.com
To accurately extract cultivated land boundaries based on high-resolution remote sensing
imagery, an improved watershed segmentation algorithm was proposed herein based on a …
imagery, an improved watershed segmentation algorithm was proposed herein based on a …
Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning
The underground sewer network is a vital public infrastructure in charge of large-scale
wastewater collection and treatment. Complex defects can occur in sewer pipes due to …
wastewater collection and treatment. Complex defects can occur in sewer pipes due to …
Developing MSA algorithm by new fitness-distance-balance selection method to optimize cascade hydropower reservoirs operation
Optimal operation of cascade hydropower reservoirs is a complex high-dimensional
engineering problem. Developing an appropriate model to solve such problems requires an …
engineering problem. Developing an appropriate model to solve such problems requires an …
Division gets better: Learning brightness-aware and detail-sensitive representations for low-light image enhancement
H Wang, X Yan, X Hou, J Li, Y Dun, K Zhang - Knowledge-Based Systems, 2024 - Elsevier
Low-light image enhancement strives to improve the contrast, adjust the visibility, and
restore the distortion in color and texture. Existing methods usually pay more attention to …
restore the distortion in color and texture. Existing methods usually pay more attention to …
Image contrast improvement through a metaheuristic scheme
Contrast enhancement is an important pre-processing task for several image and video
processing applications. The objective of a contrast enhancement method is to improve the …
processing applications. The objective of a contrast enhancement method is to improve the …