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TEXTURE GENERATION WITH THE RANDOM NEURAL NETWORK MODEL
Date
1991-01-01
Author
Atalay, Mehmet Volkan
YALABIK, N
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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URI
https://hdl.handle.net/11511/55474
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Department of Computer Engineering, Conference / Seminar
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Texture classification and retrieval using random neural network model
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Texture is one of the most important characteristics used in computer vision and image processing applications. In this thesis, a new texture classification and retrieval method is proposed for texture analysis applications. The technique makes use of the random neural network model and it is supervised. The main aim is to represent textures with parameters which are the random neural network weights and classify and retrieve textures using this texture definition. The network has neurons that correspond to...
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Texture extraction and reconsturuction from multiple images
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Texture based image retrieval by combining multiple tools
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M. V. Atalay and N. YALABIK, “TEXTURE GENERATION WITH THE RANDOM NEURAL NETWORK MODEL,” 1991, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55474.