Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0837004(2024)
A Pointer Meter Bilateral Image Segmentation Network Integrating Spatial Details and Semantic Features
[1] Ueda S, Suzuki K, Kanno J et al. A two-stage deep learning-based approach for automatic reading of analog meters[C](2021).
[2] Ye X F, Xie D L, Tao S. Automatic value identification of pointer-type pressure gauge based on machine vision[J]. Journal of Computers, 8, 1309-1314(2013).
[3] Zhang L, Fang B, Zhao X et al. Pointer-type meter automatic reading from complex environment based on visual saliency[C], 264-269(2016).
[4] Chi J N, Liu L, Liu J W et al. Machine vision based automatic detection method of indicating values of a pointer gauge[J]. Mathematical Problems in Engineering, 2015, 1-19(2015).
[5] Zhang X F, Sun Y J, Liu H et al. Improved clustering algorithms for image segmentation based on non-local information and back projection[J]. Information Sciences, 550, 129-144(2021).
[6] Cui Y F, Sun Y J, Jian M W et al. A novel underwater image restoration method based on decomposition network and physical imaging model[J]. International Journal of Intelligent Systems, 37, 5672-5690(2022).
[7] Peng J S, Xu M Y, Yan Y F. Automatic recognition of pointer meter reading based on Yolov4 and improved U-net algorithm[C], 52-57(2021).
[8] Ronneberger O, Fischer P, Brox T, Navab N, Hornegger J, Wells W M et al. U-net: convolutional networks for biomedical image segmentation[M]. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).
[9] Zheng Y, Chen M L, Peng J S et al. An automatic reading method for pointer meter based on one-stage detector[J]. Proceedings of SPIE, 1651, 165104(2020).
[10] Wan J L, Wang H F, Guan M Y et al. An automatic identification for reading of substation pointer-type meters using faster R-CNN and U-net[J]. Power System Technology, 44, 3097-3105(2020).
[11] Fang Y X, Dai Y, He G L et al. A mask RCNN based automatic reading method for pointer meter[C], 8466-8471(2019).
[12] Yu C Q, Gao C X, Wang J B et al. BiSeNet V2: bilateral network with guided aggregation for real-time semantic segmentation[J]. International Journal of Computer Vision, 129, 3051-3068(2021).
[13] Liu Z, Mao H Z, Wu C Y et al. A ConvNet for the 2020s[C], 11966-11976(2022).
[14] Lavin A, Gray S. Fast algorithms for convolutional neural networks[C], 4013-4021(2016).
[15] Dosovitskiy A, Beyer L, Kolesnikov A et al. An image is worth 16×16 words: transformers for image recognition at scale[C], 1-22(2021).
[16] Yu W H, Luo M, Zhou P et al. MetaFormer is actually what you need for vision[C], 10809-10819(2022).
[17] Bao H B, Dong L, Piao S H et al. BEiT: BERT pre-training of image transformers[C], 1-18(2022).
[18] Liu Z, Lin Y T, Cao Y et al. Swin transformer: hierarchical vision transformer using shifted windows[C], 9992-10002(2022).
[19] Chu X, Tian Z, Wang Y et al. Twins: revisiting the design of spatial attention in vision transformers[C], 9355-9366(2021).
[20] Wu T Y, Tang S, Zhang R et al. CGNet: a light-weight context guided network for semantic segmentation[J]. IEEE Transactions on Image Processing, 30, 1169-1179(2021).
[21] Poudel R K, Liwicki S, Cipolla R. Fast-SCNN: fast semantic segmentation network[C], 1-9(2019).
[22] Howard A, Sandler M, Chen B et al. Searching for MobileNetV3[C], 1314-1324(2020).
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Yaohui Zhu, Zhigang Wu, Min Chen. A Pointer Meter Bilateral Image Segmentation Network Integrating Spatial Details and Semantic Features[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0837004
Category: Digital Image Processing
Received: Jun. 5, 2023
Accepted: Jul. 24, 2023
Published Online: Mar. 13, 2024
The Author Email: Wu Zhigang (wzgang2017@163.com)