Image Retrieval Model Analysis of Digital Library Based on Texture Characteristics
A new document image retrieval algorithm is proposed in view of the inefficient retrieval of information resources in a digital library. First of all, in order to accurately characterize the texture and enhance the ability of image differentiation, this paper proposes the statistical feature method...
Guardado en:
Autor principal: | Yu Zhao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/eac7488193674604a0590417ad42f353 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Wavelet Analysis-Based Texture Analysis of Ceramic Surface Images
por: Yanbing Liu, et al.
Publicado: (2021) -
Adaptive Extraction of Oil Painting Texture Features Based on Reaction Diffusion Equation
por: Qicai Huang
Publicado: (2021) -
Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model
por: Bingjie Zhang, et al.
Publicado: (2021) -
A Biomorphic Model of Cortical Column for Content—Based Image Retrieval
por: Alexander Telnykh, et al.
Publicado: (2021) -
Scotogenesis in hybrid textures of neutrino mass matrix and neutrinoless double beta decay
por: Ankush, et al.
Publicado: (2022)