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Image Analysis in Microbiology: A Review
2016
Journal of Computer and Communications
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This review is focused on using computer image analysis as a means of objective and quantitative characterizing optical images of the macroscopic (e.g. microbial colonies) and the microscopic (e.g. single ...
Of special interest is application of image analysis in fluorescence microscopy as it opens new ways of using fluorescence based methodology for single microbial cell studies. ...
The accuracy of the hyperspectral image classification algorithm based on k-nearest neighbors algorithm of PCA was validated to be 99% with the original hyperspectral images and 92% with the test set. ...
doi:10.4236/jcc.2016.415002
fatcat:ncebjjpzzjaetmq42gw5qk5fze
Hyperspectral Image Classification using Softcomputing Techniques: A Review
2018
International Journal of Computer Applications
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Hyperspectral image classification plays a major role in remote image analysis. ...
This paper reviews how hyperspectral image classification can be done using different softcomputing techniques. ...
In Unsupervised Classification Clustering based algorithms are used to partition the spectral image into a number of spectral classes based on the statistical information inherent in the image. ...
doi:10.5120/ijca2018917731
fatcat:ehwqqsyzxnhszaqoyaigjpr5he
Histopathological Image Analysis: A Review
2009
IEEE Reviews in Biomedical Engineering
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Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis ...
In this paper, we review the recent state of the art CAD technology for digitized histopathology. ...
[105] employ diffusion maps [106] in order to reduce the dimensionality of shape descriptors down to two dimensions and a fast classification algorithm is derived based on a simple thresholding of ...
doi:10.1109/rbme.2009.2034865
pmid:20671804
pmcid:PMC2910932
fatcat:a6sm4iy5gffbhlc23dtlp7xe2q
Medical hyperspectral imaging: a review
2014
Journal of Biomedical Optics
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This review paper presents an overview of the literature on medical hyperspectral imaging technology and its applications. ...
HSI acquires a three-dimensional dataset called hypercube, with two spatial dimensions and one spectral dimension. ...
of Health grants (R01CA156775 and R21CA176684), Georgia Research Alliance Distinguished Scientists Award, Emory SPORE in Head and Neck Cancer (NIH P50CA128613), and Emory Molecular and Translational Imaging ...
doi:10.1117/1.jbo.19.1.010901
pmid:24441941
pmcid:PMC3895860
fatcat:oqkqz2l2d5bala25xqbezlaeri
Image Fusion in Remote Sensing Applications: A Review
2015
International Journal of Computer Applications
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To overcome this limitation, image fusion has proved to be a potential tool in remote sensing applications which integrates the information from combinations of panchromatic, multispectral or hyperspectral ...
images; intended to result in a composite image having both higher spatial and higher spectral resolutions. ...
based on visual characteristics. ...
doi:10.5120/21263-3846
fatcat:x64eqqgvgzfnrorp6uq5yiedfq
A review of EO image information mining
[article]
2012
arXiv
pre-print
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We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. ...
The approaches taken are analyzed, focusing in particular on the phases after primitive feature extraction. ...
A Bayesian algorithm and a decision tree algorithm are developed for interactive training. The Bayesian algorithm enables training based on pixel features. ...
arXiv:1203.0747v2
fatcat:nwiylcsdrnhthi753xcxwxgo7e
Image mining framework and techniques: a review
2015
International Journal of Image Mining
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This review paper presents a detailed view on the existing research works in the area of image mining and also summarised the different techniques used. ...
Image mining refers to a data mining technique where images are used as data. ...
They also highlighted the target detections from raw multisensory or multispectral imagery. ...
doi:10.1504/ijim.2015.070028
fatcat:kszujsxburaxxkbqjeh5gwbmbi
A review on image segmentation techniques
1993
Pattern Recognition
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The literature on color image segmentation is not that rich as it is for gray tone images. This paper critically reviews and summarizes some of these techniques. ...
Attempts have been made to cover both fuzzy and non-fuzzy techniques including color image segmentation and neural network based approaches. ...
We mention here that a color image is a special case of multispectral images and algorithms developed for multispectral images a37) usually can be used for color image segmentation. ...
doi:10.1016/0031-3203(93)90135-j
fatcat:ws4tjtqyajfrjgrq4igfokn4zm
Deep Learning Application in Plant Stress Imaging: A Review
2020
AgriEngineering
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In addition, we reviewed a variety of deep learning applications/functions with plant stress imaging, including classification, object detection, and segmentation, of which are closely intertwined. ...
Developments of advanced sensing and machine learning techniques trigger revolutions for precision agriculture based on deep learning and big data. ...
Most of the papers we have reviewed are based on the 2D images for symptomatic stages, for example the digital and greyscale images. ...
doi:10.3390/agriengineering2030029
fatcat:ehqowfrcdrddlgpr63rtkkfwxm
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
2022
Remote Sensing
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Therefore, this review focuses on deep learning techniques, such as supervised, unsupervised, and semi-supervised for different change detection datasets, such as SAR, multispectral, hyperspectral, VHR ...
CD is a technique of recognizing the dissimilarities in the images acquired at distinct intervals and are used for numerous applications, such as urban area development, disaster management, land cover ...
Acknowledgments: The authors truly appreciate the helpful remarks and constructive ideas provided by the academic editors and reviewers. ...
doi:10.3390/rs14040871
fatcat:myyprcrcyzh6fhjz5ggqdc5e54
Deep learning for biomedical photoacoustic imaging: A review
[article]
2020
arXiv
pre-print
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Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential ...
In this review, we examine the current state of the art regarding deep learning in PAI and identify potential directions of research that will help to reach the goal of clinical applicability ...
Based on the diagnostic power of optical absorption it is possible to generate semantic image annotations of multispectral PA images and a multitude of methods for it are being developed to specifically ...
arXiv:2011.02744v1
fatcat:6khpuvsnhjaijkfg4wwvyl7lu4
Multiple Classifier System for Remote Sensing Image Classification: A Review
2012
Sensors
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Although there are lots of literatures covering the MCS approaches, there is a lack of a comprehensive literature review which presents an overall architecture of the basic principles and trends behind ...
The effectiveness of existing and improved algorithms are analyzed and evaluated by multi-source remotely sensed images, including high spatial resolution image (QuickBird), hyperspectral image (OMISII ...
Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments. ...
doi:10.3390/s120404764
pmid:22666057
pmcid:PMC3355439
fatcat:xeu6ougwsrhfpfoyvl4llqxw2m
Multimodal Classification of Remote Sensing Images: A Review and Future Directions
2015
Proceedings of the IEEE
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In this paper, we provide a taxonomical view of the field and review the current methodologies for multimodal classification of remote sensing images. ...
Then, we illustrate the different approaches in seven challenging remote sensing applications: 1) multiresolution fusion for multispectral image classification; 2) image downscaling as a form of multitemporal ...
ACKNOWLEDGEMENTS The authors would like to thank DigitalGlobe Inc. for the optical data on Rio and Haiti, and the Italian Space Agency for the SAR data on Haiti. ...
doi:10.1109/jproc.2015.2449668
fatcat:gaficd2bcrbshcrds3a2wfa25a
Deep learning for biomedical photoacoustic imaging: A review
2021
Photoacoustics
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Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential ...
In this review, we examine the current state of the art regarding deep learning in PAI and identify potential directions of research that will help to reach the goal of clinical applicability. ...
Tizabi and A. Seitel for proofreading the manuscript. ...
doi:10.1016/j.pacs.2021.100241
pmid:33717977
pmcid:PMC7932894
fatcat:ijlvkeivlbhmzdf7otgrjuthky
A review of remotely sensed satellite image classification
2019
International Journal of Electrical and Computer Engineering (IJECE)
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<p>Satellite image classification has a vital role for the extraction and analysis of the useful satellite image information. ...
The post- implementation of the classification algorithms, the classified image is obtained displaying different classes that are represented by different colours. ...
Learning-
Based
Methods,
Deep-Feature-
Learning-
Based
Methods
A review of remotely sensed satellite image classification (Sakshi Dhingra)The process of satellite image classification falls under ...
doi:10.11591/ijece.v9i3.pp1720-1731
fatcat:6kakvywzrnckrdb2bv74brinzq
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