A critical review and comparative study on image segmentation-based techniques for pavement crack detection
N Kheradmandi, V Mehranfar - Construction and Building Materials, 2022 - Elsevier
The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …
[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
Pixel difference networks for efficient edge detection
Abstract Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level
performance in edge detection with the rich and abstract edge representation capacities …
performance in edge detection with the rich and abstract edge representation capacities …
A review of semantic segmentation using deep neural networks
During the long history of computer vision, one of the grand challenges has been semantic
segmentation which is the ability to segment an unknown image into different parts and …
segmentation which is the ability to segment an unknown image into different parts and …
X-net: a dual encoding–decoding method in medical image segmentation
Medical image segmentation has the priori guiding significance for clinical diagnosis and
treatment. In the past ten years, a large number of experimental facts have proved the great …
treatment. In the past ten years, a large number of experimental facts have proved the great …
GeoAI for large-scale image analysis and machine vision: recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …
Big data in forecasting research: a literature review
L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …
introduced into forecasting research, bringing new knowledge and improving prediction …
Perceptual quality assessment of low-light image enhancement
Low-light image enhancement algorithms (LIEA) can light up images captured in dark or
back-lighting conditions. However, LIEA may introduce various distortions such as structure …
back-lighting conditions. However, LIEA may introduce various distortions such as structure …
Paddleseg: A high-efficient development toolkit for image segmentation
Image Segmentation plays an essential role in computer vision and image processing with
various applications from medical diagnosis to autonomous car driving. A lot of …
various applications from medical diagnosis to autonomous car driving. A lot of …