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Image Analysis in Microbiology: A Review

Evgeny Puchkov
2016 Journal of Computer and Communications  
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

A. Rajitha, P. Bhargavi, S. Jyothi
2018 International Journal of Computer Applications  
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

M.N. Gurcan, L.E. Boucheron, A. Can, A. Madabhushi, N.M. Rajpoot, B. Yener
2009 IEEE Reviews in Biomedical Engineering  
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

Guolan Lu, Baowei Fei
2014 Journal of Biomedical Optics  
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

Vaibhav R.Pandit, R. J. Bhiwani
2015 International Journal of Computer Applications  
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]

Marco Quartulli, Igor G. Olaizola
2012 arXiv   pre-print
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

Nilanjan Dey, Wahiba Ben Abdessalem Karâa, Sayan Chakraborty, Sukanya Banerjee, Mohammed A.M. Salem, Ahmad Taher Azar
2015 International Journal of Image Mining  
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

Nikhil R Pal, Sankar K Pal
1993 Pattern Recognition  
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

Zongmei Gao, Zhongwei Luo, Wen Zhang, Zhenzhen Lv, Yanlei Xu
2020 AgriEngineering  
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

Ayesha Shafique, Guo Cao, Zia Khan, Muhammad Asad, Muhammad Aslam
2022 Remote Sensing  
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]

Janek Gröhl, Melanie Schellenberg, Kris Dreher, Lena Maier-Hein
2020 arXiv   pre-print
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

Peijun Du, Junshi Xia, Wei Zhang, Kun Tan, Yi Liu, Sicong Liu
2012 Sensors  
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

Luis Gomez-Chova, Devis Tuia, Gabriele Moser, Gustau Camps-Valls
2015 Proceedings of the IEEE  
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

Janek Gröhl, Melanie Schellenberg, Kris Dreher, Lena Maier-Hein
2021 Photoacoustics  
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

Sakshi Dhingra, Dharminder Kumar
2019 International Journal of Electrical and Computer Engineering (IJECE)  
<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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