P‐i‐n Heterojunction Photonic Synapses with Multispectral Weak Light Modulation for Full‐Color Image Recognition
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202512891
Abstract: Photonic synaptic transistors, designed to emulate the multispectral light detection of retinal neurons, play a pivotal role in advancing artificial vision systems capable of full‐color image recognition. However, their limited sensitivity to weak and multispectral… read more here.
Keywords: color image; full color; image recognition; color ... See more keywords
Bidirectional Photoadaptive Organic Heterojunction Synaptic Transistors for Accurate Image Recognition in Machine Vision Systems.
Sign Up to like & getrecommendations! Published in 2025 at "Advanced science"
DOI: 10.1002/advs.202517059
Abstract: Machine vision systems are crucial in intelligent scenarios, but actual image acquisition is frequently compromised by the inadequate proficiency of photosensors in photoadaptation. Inspired by biological vision, neuromorphic synaptic phototransistors endowed with photoadaptive capabilities have… read more here.
Keywords: image; machine vision; vision systems; vision ... See more keywords
Field evaluation of an agricultural weed detector using YOLO image recognition: background conditions affect detection performance
Sign Up to like & getrecommendations! Published in 2025 at "Pest Management Science"
DOI: 10.1002/ps.70009
Abstract: Image recognition tools for weed identification, such as smartphone applications, have the potential to enhance user knowledge, provide early invasive weed alerts, and enable site‐specific weed management. Although numerous studies have reported product development and… read more here.
Keywords: detection; detector using; image; weed detector ... See more keywords
Innovative chest X-ray image recognition technique and its economic value
Sign Up to like & getrecommendations! Published in 2021 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-021-01627-z
Abstract: Image recognition techniques can recognize abnormal medical images, directly contributing to achieving high-quality diagnosis. In particular, with the development of deep learning technology, the recognition accuracy of abnormalities has steadily increased. However, there are usually… read more here.
Keywords: recognition; learning instances; chest ray; image recognition ... See more keywords
Semi-supervised self-growing generative adversarial networks for image recognition
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09602-1
Abstract: Image recognition is an important topic in computer vision and image processing, and has been mainly addressed by supervised deep learning methods, which need a large set of labeled images to achieve promising performance. However,… read more here.
Keywords: supervised self; semi supervised; image; self growing ... See more keywords
Image Recognition Technology Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5246-z
Abstract: In order to apply deep learning to the field of image recognition, the basic principle, training process and model structure of deep belief networks (DBNs) in deep learning are analysed. For small samples, samples are… read more here.
Keywords: recognition technology; learning; deep learning; image recognition ... See more keywords
Fine-grained pornographic image recognition with multiple feature fusion transfer learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-020-01157-9
Abstract: Image has become a main medium of Internet information dissemination, makes it easy for an Internet visitor to get pornographic images with just few clicks on websites. It is necessary to build pornographic image recognition… read more here.
Keywords: transfer learning; image; feature; pornographic image ... See more keywords
Deep learning-based image recognition for autonomous driving
Sign Up to like & getrecommendations! Published in 2019 at "Iatss Research"
DOI: 10.1016/j.iatssr.2019.11.008
Abstract: Abstract Various image recognition tasks were handled in the image recognition field prior to 2010 by combining image local features manually designed by researchers (called handcrafted features) and machine learning method. After entering the 2010,… read more here.
Keywords: image; deep learning; recognition; learning based ... See more keywords
Detection algorithm of defects on polyethylene gas pipe using image recognition
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Pressure Vessels and Piping"
DOI: 10.1016/j.ijpvp.2021.104381
Abstract: Abstract Aiming at the defects in the polyethylene (PE) gas pipeline, a defect detection algorithm based on image recognition is proposed. Firstly, the collected image is preliminarily screened to obtain the image with defects. Gamma… read more here.
Keywords: detection algorithm; recognition; image; image recognition ... See more keywords
Sports image recognition based on FPGA and Machine Learning
Sign Up to like & getrecommendations! Published in 2020 at "Microprocessors and Microsystems"
DOI: 10.1016/j.micpro.2020.103490
Abstract: Abstract In day and sport image recognition of the Internet, how the huge measure of information created each day and the substance based grouping of pictures has gotten a significant part of viable picture recovery,… read more here.
Keywords: sports image; image; machine learning; image recognition ... See more keywords
Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.118
Abstract: We demonstrate a low-power and compact hardware implementation of Random Feature Extractor (RFE) core. With complex tasks like Image Recognition requiring a large set of features, we show how weight reuse technique can allow to… read more here.
Keywords: random feature; hardware; image recognition;