Edge Detection Using Vector Quantization And Local Entropy Measures Applied To Spectrogram Component Extraction-Reference-Cited by-同舟云学术

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Edge Detection Using Vector Quantization And Local Entropy Measures Applied To Spectrogram Component Extraction

Published:2023-06-20 Issue: Volume: Page:
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Container-title:2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)
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Author:

Abramović Matej¹,Tomasović Željka¹,Saulig Nicoletta¹,Marasović Ivan²

Affiliation:

1. University of Pula,Faculty of Engineering,Pula,Croatia

2. University of Split,FESB,Split,Croatia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192574/10192583/10193655.pdf?arnumber=10193655

Reference21 articles.

1. Blur detection for digital images using wavelet transform

2. Blurred image region detection and classification

3. A local entropy-based algorithm for information content extraction from time–frequency distributions of noisy signals

4. Blur image detection using Laplacian operator and Open-CV

5. X-means: extending K-means with efficient estimation of the number of clusters;pelleg;Proceedings of the 17th International Conference on Machine Learning,2000

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1. Blind Image Quality Assessment Score for Humanities Online Digital Repositories;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25

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