Detecting Uyghur text in complex background images with convolutional neural network
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4538-8
Abstract: Uyghur text detection is crucial to a variety of real-world applications, while little researches put their attention on it. In this paper, we develop an effective and efficient region-based convolutional neural network for Uyghur text… read more here.
Keywords: uyghur text; network; convolutional neural; complex background ... See more keywords
An Effective Method for Small Targets Detection in Synthetic Aperture Radar Images Under Complex Background
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DOI: 10.1109/access.2022.3169501
Abstract: Synthetic Aperture Radar (SAR) is a useful tool in marine surveillance. Small targets detection in SAR images especially in nearshore area is a difficult issue. Due to the complex background, there exist a lot of… read more here.
Keywords: aperture radar; synthetic aperture; small targets; complex background ... See more keywords
Detection and Discrimination of Ship Targets in Complex Background From Spaceborne ALOS-2 SAR Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2787573
Abstract: This paper proposes a novel method for ship detection and discrimination in complex background from synthetic aperture radar (SAR) images. It first implements a pixel-level land–sea segmentation with the aid of a global 250-m water… read more here.
Keywords: sar images; alos sar; complex background; sar ... See more keywords
Automated Scrap Steel Grading via a Hierarchical Learning-Based Framework
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3206816
Abstract: Scrap steel grading is relatively important during the process of scrap recycling. However, the current evaluation method for scrap steel grading mainly relies on the manual, which is subjective and inaccurate. There are two challenges… read more here.
Keywords: steel; framework; steel grading; complex background ... See more keywords
An Anchor-Free Defect Detector for Complex Background Based on Pixelwise Adaptive Multiscale Feature Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3229728
Abstract: Defect detection is a task to locate and classify the possible defects in an image. However, unlike common object detection tasks, defect detection often needs to deal with images with relatively complex backgrounds, for example,… read more here.
Keywords: fusion; anchor free; background; feature ... See more keywords
Effective Uyghur Language Text Detection in Complex Background Images for Traffic Prompt Identification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2749977
Abstract: Text detection in complex background images is a challenging task for intelligent vehicles. Actually, almost all the widely-used systems focus on commonly used languages while for some minority languages, such as the Uyghur language, text… read more here.
Keywords: detection; background images; language text; complex background ... See more keywords
A Fast Uyghur Text Detector for Complex Background Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2838320
Abstract: Uyghur text localization in images with complex backgrounds is a challenging yet important task for many applications. Generally, Uyghur characters in images consist of strokes with uniform features, and they are distinct from backgrounds in… read more here.
Keywords: uyghur text; detector complex; fast uyghur; detector ... See more keywords
Accurate detection of spherical objects in a complex background.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.434652
Abstract: The automated detection of particles in microscopy images has become a routinely used method for quantitative image analysis in biology, physics, and other research fields. While the majority of particle detection algorithms have been developed… read more here.
Keywords: spherical objects; detection; detection spherical; background ... See more keywords
BC-DUnet-based segmentation of fine cracks in bridges under a complex background
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DOI: 10.1371/journal.pone.0265258
Abstract: Crack is the external expression form of potential safety risks in bridge construction. Currently, automatic detection and segmentation of bridge cracks remains the top priority of civil engineers. With the development of image segmentation techniques… read more here.
Keywords: crack; dunet; background; segmentation ... See more keywords