Combining the use of CNN classification and strength‐driven compression for the robust identification of bacterial species on hyperspectral culture plate images

Combining the use of CNN classification and strength‐driven compression for the robust identification of bacterial species on hyperspectral culture plate images

Huge streams of diagnostic images are expected to be produced daily in the emerging field of digital microbiology imaging because of the ongoing worldwide spread of Full Laboratory Automation systems. This is redefining the way microbiologists execute diagnostic tasks. In this context, the authors w...

Full description

Bibliographic Details
Main Authors:	Alberto Signoroni, Mattia Savardi, Mario Pezzoni, Fabrizio Guerrini, Simone Arrigoni, Giovanni Turra
Format:	Article
Language:	English
Published:	Wiley 2018-10-01
Series:	IET Computer Vision
Subjects:	CNN classification strength-driven compression robust bacterial species identification hyperspectral culture plate images diagnostic images digital microbiology imaging
Online Access:	https://doi.org/10.1049/iet-cvi.2018.5237

Similar Items

Tensor Robust CUR for Compression and Denoising of Hyperspectral Data
by: Mohammad M. Salut, et al.
Published: (2023-01-01)

Classification of hyperspectral images using fusion of CNN and MiniGCN with SVM
by: Wenbing Wu, et al.
Published: (2023-12-01)

Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
by: Alberto Signoroni, et al.
Published: (2019-05-01)

Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
by: Felipe Viel, et al.
Published: (2023-01-01)

ODPA-CNN: One Dimensional Parallel Atrous Convolution Neural Network for Band-Selective Hyperspectral Image Classification
by: Byungjin Kang, et al.
Published: (2021-12-01)

Innovative Hyperspectral Image Classification Approach Using Optimized CNN and ELM
by: Ansheng Ye, et al.
Published: (2022-03-01)

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising
by: Risheng Huang, et al.
Published: (2023-02-01)

Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning
by: Xiaorui Song, et al.
Published: (2019-07-01)

Spatial–Spectral Evidence of Glare Influence on Hyperspectral Acquisitions
by: Alberto Signoroni, et al.
Published: (2020-08-01)

An Efficient and Robust Framework for Hyperspectral Anomaly Detection
by: Linbo Tang, et al.
Published: (2021-10-01)

An Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-Sample Problems in Hyperspectral Image Classification
by: Jinxiang Liu, et al.
Published: (2022-02-01)

COMPRESSIVE SENSING APPROACH TO HYPERSPECTRAL IMAGE COMPRESSION
by: K S Gunasheela, et al.
Published: (2018-08-01)

Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN
by: Hang Gong, et al.
Published: (2021-06-01)

Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging
by: Razieh Pourdarbani, et al.
Published: (2023-02-01)

A Robust Sparse Representation Model for Hyperspectral Image Classification
by: Shaoguang Huang, et al.
Published: (2017-09-01)

Regularized CNN Feature Hierarchy for Hyperspectral Image Classification
by: Muhammad Ahmad, et al.
Published: (2021-06-01)

Hyperspectral Image Denoising via Low-Rank Representation and CNN Denoiser
by: Hezhi Sun, et al.
Published: (2022-01-01)

Fully connected-convolutional (FC-CNN) neural network based on hyperspectral images for rapid identification of P. ginseng growth years
by: Xingfeng Chen, et al.
Published: (2024-03-01)

Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands
by: Tien-Heng Hsieh, et al.
Published: (2020-03-01)

Robust Superpixel Segmentation for Hyperspectral-Image Restoration
by: Ya-Ru Fan
Published: (2023-01-01)

TCCU-Net: Transformer and CNN Collaborative Unmixing Network for Hyperspectral Image
by: Jianfeng Chen, et al.
Published: (2024-01-01)

Multitrack Compressed Sensing for Faster Hyperspectral Imaging
by: Sharvaj Kubal, et al.
Published: (2021-07-01)

Identification of Geographical Origin of Chinese Chestnuts Using Hyperspectral Imaging with 1D-CNN Algorithm
by: Xingpeng Li, et al.
Published: (2021-12-01)

An Enhanced Spectral Fusion 3D CNN Model for Hyperspectral Image Classification
by: Junbo Zhou, et al.
Published: (2022-10-01)

A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification
by: Xinyu Wang, et al.
Published: (2024-03-01)

ATSFCNN: a novel attention-based triple-stream fused CNN model for hyperspectral image classification
by: Jizhen Cai, et al.
Published: (2024-01-01)

Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite
by: Dennis D. Langer, et al.
Published: (2023-07-01)

Hyperspectral Panoramic Image Stitching Using Robust Matching and Adaptive Bundle Adjustment
by: Yujie Zhang, et al.
Published: (2022-08-01)

Backtracking Reconstruction Network for Three-Dimensional Compressed Hyperspectral Imaging
by: Xi Wang, et al.
Published: (2022-05-01)

Fusion of Multidimensional CNN and Handcrafted Features for Small-Sample Hyperspectral Image Classification
by: Haojin Tang, et al.
Published: (2022-08-01)

Crop Classification for Agricultural Applications in Hyperspectral Remote Sensing Images
by: Loganathan Agilandeeswari, et al.
Published: (2022-02-01)

Hyperspectral imaging for heritage: from books to bricks
by: Maybury, IJ
Published: (2019)

CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification
by: Zhen Yang, et al.
Published: (2022-01-01)

Deep learning techniques for hyperspectral image analysis in agriculture: A review
by: Mohamed Fadhlallah Guerri, et al.
Published: (2024-04-01)

Weighted Generalized Nearest Neighbor for Hyperspectral Image Classification
by: Chunjuan Bo, et al.
Published: (2017-01-01)

A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information
by: Meizhu Li, et al.
Published: (2020-09-01)

Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior
by: Lina Zhuang, et al.
Published: (2021-10-01)

Mid-Infrared Compressive Hyperspectral Imaging
by: Shuowen Yang, et al.
Published: (2021-02-01)

Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data
by: Xiaotong Ma, et al.
Published: (2023-02-01)

Spatial-Spectral Transformer for Hyperspectral Image Classification
by: Xin He, et al.
Published: (2021-01-01)