Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication 2015
DOI: 10.1145/2816839.2816859
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A Hybrid Active Contour without Re-initialization

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Cited by 1 publication
(5 citation statements)
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“…In this section, in order to validate the performance of the proposed model, we apply and compare it with the original RSF-LoG model [18] and the GMM_GCM model [24] using three defect samples of hot images extracted from the splicer machine. This study does not contain comparison with CNN based models including UNet [20] and HRNet [22] since such models require Image Dataset for evaluation. All models are implemented using Matlab 9.5 in Windows 7; on 3.3 GHz Intel core i3 PC with 4GB of RAM.…”
Section: Resultsmentioning
confidence: 99%
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“…In this section, in order to validate the performance of the proposed model, we apply and compare it with the original RSF-LoG model [18] and the GMM_GCM model [24] using three defect samples of hot images extracted from the splicer machine. This study does not contain comparison with CNN based models including UNet [20] and HRNet [22] since such models require Image Dataset for evaluation. All models are implemented using Matlab 9.5 in Windows 7; on 3.3 GHz Intel core i3 PC with 4GB of RAM.…”
Section: Resultsmentioning
confidence: 99%
“…about the neighborhood and reduce spatial resolution [23]. Some of the most well-known CNN architectures include: UNet [20] and HRNet [22]. The UNet [20] architecture is proposed by taking the idea of the fully convolutional neural network (fCNN) [28].…”
Section: Cnn Based Modelsmentioning
confidence: 99%
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