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Deep Morphological Neural Networks
Yucong Shen
,
Frank Y. Shih
, Xin Zhong
, I. Cheng Chang
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
18
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Scopus citations
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Dive into the research topics of 'Deep Morphological Neural Networks'. Together they form a unique fingerprint.
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Keyphrases
Adaptive Layer
50%
Brain Tumor
50%
Convolutional Neural Network Model
50%
Deep Morphological Networks
100%
Digital Image
50%
Feature Extraction Layer
50%
Geometric Shape
50%
Geometric Structure
50%
Handwritten Digits
50%
High Computational Efficiency
50%
Mathematical Morphology
50%
Morphological Operations
100%
Morphological Structuring
50%
Nonlinear Feature Extraction
50%
Object Features
50%
Object Recognition
50%
Original Image
50%
Structuring Element
100%
Target Image
50%
Topological Structure
50%
Traffic Signs
50%
Computer Science
Computational Efficiency
50%
Convolutional Neural Network
50%
Experimental Result
50%
Feature Extraction
50%
Mathematical Morphology
50%
Morphological Operations
100%
Neural Network
100%
Neural Network Model
50%
Object Recognition
50%
Operation Element
50%
Structuring Element
100%
Topological Structure
50%
Engineering
Computational Efficiency
50%
Convolutional Neural Network
50%
Experimental Result
50%
Feature Extraction
50%
Geometric Shape
50%
Mathematical Morphology
50%
Morphological Operations
100%
Network Model
50%
Nonlinear Feature
50%
Object Recognition
50%
Operation Element
50%
Structuring Element
100%
Target Image
50%
Biochemistry, Genetics and Molecular Biology
Feature Extraction
25%
Morphology
100%