Search Results - "IET image processing"

Medical image segmentation using deep learning: A survey by Wang, Risheng, Lei, Tao, Cui, Ruixia, Zhang, Bingtao, Meng, Hongying, Nandi, Asoke K.

“…Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the…”
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Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture by Rehman, Zia ur, Khan, Muhammad Attique, Ahmed, Fawad, Damaševičius, Robertas, Naqvi, Syed Rameez, Nisar, Wasif, Javed, Kashif

“…Effective recognition of fruit leaf diseases has a substantial impact on agro‐based economies. Several fruit diseases exist that badly impact the yield and…”
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Real‐time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector by Jia, Wei, Xu, Shiquan, Liang, Zhen, Zhao, Yang, Min, Hai, Li, Shujie, Yu, Ye

“…In traffic accidents, motorcycle accidents are the main cause of casualties, especially in developing countries. The main cause of fatal injuries in motorcycle…”
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Review of surface defect detection of steel products based on machine vision by Tang, Bo, Chen, Li, Sun, Wei, Lin, Zhong‐kang

“…Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two…”
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Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning by C, Dhanamjayulu, N, Nizhal U, Maddikunta, Praveen Kumar Reddy, Gadekallu, Thippa Reddy, Iwendi, Celestine, Wei, Chuliang, Xin, Qin

“…Human faces contain useful information that can be used in the identification of age, gender, weight etc. Among these biometrics, body mass index (BMI) and…”
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Survey of single image super‐resolution reconstruction by Kai Li, Shenghao Yang, Runting Dong, Xiaoying Wang, Jianqiang Huang

“…Image super‐resolution reconstruction refers to a technique of recovering a high‐resolution (HR) image (or multiple images) from a low‐resolution (LR) degraded…”
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CNN‐based infrared dim small target detection algorithm using target‐oriented shallow‐deep features and effective small anchor by Du, Jinming, Lu, Huanzhang, Hu, Moufa, Zhang, Luping, Shen, Xinglin

“…For the extremely small size and low signal‐to‐clutter ratio, target detection in infrared images is still a considerable challenge. Specifically, it is very…”
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COVID‐19 disease severity assessment using CNN model by Irmak, Emrah

“…Due to the highly infectious nature of the novel coronavirus (COVID‐19) disease, excessive number of patients waits in the line for chest X‐ray examination,…”
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Tomato leaf disease classification by exploiting transfer learning and feature concatenation by Al‐gaashani, Mehdhar S. A. M., Shang, Fengjun, Muthanna, Mohammed S. A., Khayyat, Mashael, Abd El‐Latif, Ahmed A.

“…Tomato is one of the most important vegetables worldwide. It is considered a mainstay of many countries’ economies. However, tomato crops are vulnerable to…”
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Novel image encryption by combining dynamic DNA sequence encryption and the improved 2D logistic sine map by Jieyu Zheng, LingFeng Liu

“…The one‐dimensional (2D) chaotic encryption algorithm has good encryption performance. For its properties, such as the excellent complexity, pseudo‐randomness,…”
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Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 by Li, De‐yong, Wang, Guo‐fa, Zhang, Yong, Wang, Shuang

“…The intelligentisation of coal mines is the only approach to the high‐quality development of the coal industry. Detection, identification and sorting of coal…”
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Identification of plant disease images via a squeeze‐and‐excitation MobileNet model and twice transfer learning by Chen, Junde, Zhang, Defu, Suzauddola, Md, Nanehkaran, Yaser Ahangari, Sun, Yuandong

“…Crop diseases have a devastating effect on agricultural production, and serious diseases can lead to harvest failure entirely. Recent developments in deep…”
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Convolutional neural network for smoke and fire semantic segmentation by Frizzi, Sebastien, Bouchouicha, Moez, Ginoux, Jean‐Marc, Moreau, Eric, Sayadi, Mounir

“…In recent decades, global warming has contributed to an increase in the number and intensity of wildfires destroying millions hectares of forest areas and…”
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Deep learning for occluded and multi‐scale pedestrian detection: A review by Xiao, Yanqiu, Zhou, Kun, Cui, Guangzhen, Jia, Lianhui, Fang, Zhanpeng, Yang, Xianchao, Xia, Qiongpei

“…Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in many fields, such as automatic driving, video surveillance,…”
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Geometric correction code‐based robust image watermarking by Zhou, Zhili, Zhu, Jianyu, Su, Yuecheng, Wang, Meimin, Sun, Xingming

“…Abstract Digital image watermarking is one of the effective schemes to protect the copyrights of still images. However, the existing watermarking schemes are…”
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Dual branch convolutional neural network for copy move forgery detection by Goel, Nidhi, Kaur, Samarjeet, Bala, Ruchika

“…The advent of digital era has seen a rise in the cases of illegal copying, distribution and forging of images. Even the most secure data channels sometimes…”
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Deep coordinate attention network for single image super‐resolution by Xie, Chao, Zhu, Hongyu, Fei, Yeqi

“…Deep learning techniques and deep networks have recently been extensively studied and widely applied to single image super‐resolution (SR). Among them, channel…”
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Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images by Sun, Ying, Weng, Yaoqing, Luo, Bowen, Li, Gongfa, Tao, Bo, Jiang, Du, Chen, Disi

“…With the rapid development of sensor technology and artificial intelligence, the video gesture recognition technology under the background of big data makes…”
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Segmentation of osteosarcoma in MRI images by K‐means clustering, Chan‐Vese segmentation, and iterative Gaussian filtering by Nasor, Mohamed, Obaid, Walid

“…Unlike other types of tumours, automated osteosarcoma segmentation in magnetic resonance images (MRI) is a challenging task due to its different and unique…”
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IMG‐forensics: Multimedia‐enabled information hiding investigation using convolutional neural network by Khan, Abdullah Ayub, Shaikh, Aftab Ahmed, Cheikhrouhou, Omar, Laghari, Asif Ali, Rashid, Mamoon, Shafiq, Muhammad, Hamam, Habib

“…Information hiding aims to embed a crucial amount of confidential data records into the multimedia, such as text, audio, static and dynamic image, and video…”
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