Edge detection of noisy digital image using optimization of threshold and self organized map neural network

The purpose of this research is to find a suitable method for detecting the edges of noisy digital images by eliminating the noise effects. The image will be partitioned into equal partitions and the initial threshold of that image partition will be calculated. By applying all these thresholds into...

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Veröffentlicht in:	Multimedia tools and applications 2021-02, Vol.80 (4), p.5067-5086
Hauptverfasser:	Hajipour, Khadiv, Mehrdad, Vahid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brightness Clustering Computer Communication Networks Computer Science Data Structures and Information Theory Digital imaging Edge detection Entropy Image segmentation Machine learning Multimedia Information Systems Neural networks Noise Noise threshold Optimization Partitions Self organizing maps Special Purpose and Application-Based Systems
Online-Zugang:	Volltext
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