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Advancing Crack Segmentation Detection:Introducing AAMC-Net Algorithm for Image Crack Analysis
Computer Science and Information Systems, Tome 21 (2024) no. 4 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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This research paper presents an innovative solution to address the challenges of poor detail detection effectiveness and prolonged training time in image segmentation. The proposed approach leverages the Adaptive Attention Multiscale Convolution Network (AAMC-Net), incorporating a multi-scale dilated convolution VGG L network for feature extraction and a deconvolution method for image segmentation. Extensive experiments demonstrate the superior performance of the proposed algorithm concerning intersection over Union (IOU), accuracy, precision, recall, F1, average training efficiency, and segmentation efficiency when compared to several traditional algorithms. On average, the proposed algorithm achieves remarkable improvements of 3.9%, 3.1%, 1.7%, 4.9%, 17.9%, 14.8% ,and 20.2% in these metrics. Moreover, the enhanced algorithm exhibits notable advantages in detail processing and real-time image segmentation detection.
Keywords: Image crack segmentation, Convolutional neural network,VGG L, Attention mechanism 
@article{CSIS_2024_21_4_a13,
     author = {WANG Xiaofang and LIU Chenfang and Hou Junliang and Zhou Liang},
     title = {Advancing {Crack} {Segmentation} {Detection:Introducing} {AAMC-Net} {Algorithm} for {Image} {Crack} {Analysis}},
     journal = {Computer Science and Information Systems},
     year = {2024},
     volume = {21},
     number = {4},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a13/}
}
TY  - JOUR
AU  - WANG Xiaofang
AU  - LIU Chenfang
AU  - Hou Junliang
AU  - Zhou Liang
TI  - Advancing Crack Segmentation Detection:Introducing AAMC-Net Algorithm for Image Crack Analysis
JO  - Computer Science and Information Systems
PY  - 2024
VL  - 21
IS  - 4
UR  - http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a13/
ID  - CSIS_2024_21_4_a13
ER  - 
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%A Hou Junliang
%A Zhou Liang
%T Advancing Crack Segmentation Detection:Introducing AAMC-Net Algorithm for Image Crack Analysis
%J Computer Science and Information Systems
%D 2024
%V 21
%N 4
%U http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a13/
%F CSIS_2024_21_4_a13
WANG Xiaofang; LIU Chenfang; Hou Junliang; Zhou Liang. Advancing Crack Segmentation Detection:Introducing AAMC-Net Algorithm for Image Crack Analysis. Computer Science and Information Systems, Tome 21 (2024) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a13/