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Volume 9
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10.3390/electronics9060886
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Article

Instance Segmentation Method Based on Improved Mask R-CNN for the Stacked Electronic Components

by
Zhixian Yang
,
Ruixia Dong
*,
Hao Xu
and
Jinan Gu
*
School of Mechanical Engineering, Jiangsu University, Zhenjiang 212000, China
*
Authors to whom correspondence should be addressed.
Electronics 2020, 9(6), 886; https://doi.org/10.3390/electronics9060886
Submission received: 10 May 2020 / Revised: 21 May 2020 / Accepted: 26 May 2020 / Published: 27 May 2020
(This article belongs to the Section Artificial Intelligence)
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Abstract

Object-detection methods based on deep learning play an important role in achieving machine automation. In order to achieve fast and accurate autonomous detection of stacked electronic components, an instance segmentation method based on an improved Mask R-CNN algorithm was proposed. By optimizing the feature extraction network, the performance of Mask R-CNN was improved. A dataset of electronic components containing 1200 images (992 × 744 pixels) was developed, and four types of components were included. Experiments on the dataset showed the model was superior in speed while being more lightweight and more accurate. The speed of our model showed promising results, with twice that of Mask R-CNN. In addition, our model was 0.35 times the size of Mask R-CNN, and the average precision (AP) of our model was improved by about two points compared to Mask R-CNN.
Keywords: autonomous detection; electronic components; deep learning; instance segmentation; Mask R-CNN autonomous detection; electronic components; deep learning; instance segmentation; Mask R-CNN

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MDPI and ACS Style

Yang, Z.; Dong, R.; Xu, H.; Gu, J. Instance Segmentation Method Based on Improved Mask R-CNN for the Stacked Electronic Components. Electronics 2020, 9, 886. https://doi.org/10.3390/electronics9060886

AMA Style

Yang Z, Dong R, Xu H, Gu J. Instance Segmentation Method Based on Improved Mask R-CNN for the Stacked Electronic Components. Electronics. 2020; 9(6):886. https://doi.org/10.3390/electronics9060886

Chicago/Turabian Style

Yang, Zhixian, Ruixia Dong, Hao Xu, and Jinan Gu. 2020. "Instance Segmentation Method Based on Improved Mask R-CNN for the Stacked Electronic Components" Electronics 9, no. 6: 886. https://doi.org/10.3390/electronics9060886

APA Style

Yang, Z., Dong, R., Xu, H., & Gu, J. (2020). Instance Segmentation Method Based on Improved Mask R-CNN for the Stacked Electronic Components. Electronics, 9(6), 886. https://doi.org/10.3390/electronics9060886

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