Mostrando 101 - 120 Resultados de 256 Para Buscar '"image retrieval"', tiempo de consulta: 1.70s Limitar resultados
  1. 101
    “…This study aims to develop content-based image retrieval (CBIR) system for the retrieval of T1-weighted contrast-enhanced MR (CE-MR) images of brain tumors. …”
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  2. 102
    por Sparks, Rachel, Madabhushi, Anant
    Publicado 2016
    “…Content-based image retrieval (CBIR) retrieves database images most similar to the query image by (1) extracting quantitative image descriptors and (2) calculating similarity between database and query image descriptors. …”
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  3. 103
    por Xu, Song, Chou, Wusheng, Dong, Hongyi
    Publicado 2019
    “…This paper proposes a novel multi-sensor-based indoor global localization system integrating visual localization aided by CNN-based image retrieval with a probabilistic localization approach. …”
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  4. 104
    “…This research focuses this gap by incorporating GoogLeNet, VGG-19, and ResNet-50 architectures with maximum response based Eigenvalues textured and convolutional Laplacian scaled object features with mapped colored channels to obtain the highest image retrieval rates over millions of images from versatile semantic groups and benchmarks. …”
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  5. 105
    “…Medical records generated in hospitals are treasures for academic research and future references. Medical Image Retrieval (MIR) Systems contribute significantly to locating the relevant records required for a particular diagnosis, analysis, and treatment. …”
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  6. 106
  7. 107
    “…This paper investigates a highly scalable and computationally efficient image retrieval system for real-time content-based searching through large-scale image repositories in the domain of remote sensing and plant biology. …”
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  8. 108
    “…One of the domains explored in this article is content-based image retrieval (CBIR), in which images are mostly encoded using hand-crafted approaches that employ different descriptors and their fusions. …”
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  9. 109
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  11. 111
    “…In this paper, a new approach for Content-Based Image Retrieval (CBIR) has been addressed by extracting colour, gray, advanced texture, and shape features for input query images. …”
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  12. 112
    por Zhuo, Zheng, Zhou, Zhong
    Publicado 2020
    “…Recently, there have been rapid advances in high-resolution remote sensing image retrieval, which plays an important role in remote sensing data management and utilization. …”
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  13. 113
    “…The Content-based image retrieval technique was used to annotate the images in the dataset using Metadata and further contents. …”
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  14. 114
  15. 115
    “…In recent years, image databases are growing at exponential rates, making their management, indexing, and retrieval, very challenging. Typical image retrieval systems rely on sample images as queries. …”
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  16. 116
    “…We studied the impact of several key parameters to image retrieval, including image pixel count, fiber core diameter and numerical aperture. …”
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  17. 117
    “…This article proposes a system for Content-Based Image Retrieval (CBIR) using stochastic distance for Synthetic-Aperture Radar (SAR) images. …”
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  18. 118
    Publicado 2021
    “…The performance of the CNN and image retrieval algorithms were improved by transfer learning and hashing functions. …”
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  19. 119
    por Pilevar, Abdol Hamid
    Publicado 2012
    “…Based on special information of dental images, for better content-based dental image retrieval and representation, the image attributes are used. …”
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  20. 120
    “…Color similarity has been a key feature for content-based image retrieval by contemporary search engines, such as Google. …”
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