Researching | Convolution-Deconvolution Image Segmentation Model for Fusion Features and Decision

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 1 >Page 011008 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 1, 011008 (2019)

Convolution-Deconvolution Image Segmentation Model for Fusion Features and Decision

Chenxiao Feng¹ and Xili Wang^1、2、*

Author Affiliations

¹ School of Computer Science, Shaanxi Normal University, Xi'an, Shaanxi 710119, China

² Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi'an, Shaanxi 710119, China

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DOI: 10.3788/LOP56.011008 Cite this Article Set citation alerts

Chenxiao Feng, Xili Wang. Convolution-Deconvolution Image Segmentation Model for Fusion Features and Decision[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011008 Copy Citation Text

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Chenxiao Feng, Xili Wang. Convolution-Deconvolution Image Segmentation Model for Fusion Features and Decision[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011008

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