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Multi-dimensional Color Histograms for Segmentation of Wounds in Images [chapter]

Marina Kolesnik, Ales Fexa
2005 Lecture Notes in Computer Science  
The work investigates the use of multi dimensional histograms for segmentation of images of chronic wounds.  ...  A key condition for the successful segmentation is an efficient sampling of multi-dimensional histograms.  ...  The work here attempts at developing an automatic procedure for automatic segmentation of wound region in wound images.  ... 
doi:10.1007/11559573_123 fatcat:gvn65g7wqveplfffqfwdiaqaam

How robust is the SVM wound segmentation?

Marina Kolesnik, Ales Fexa
2006 Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006  
Recommendations drawn from these experiments provide a useful guideline for the development of a software support system for the visual monitoring of chronic wounds in wound care units.  ...  The robustness of SVM-based segmentation is tested against different feature spaces using a long sample of training images featuring a broad variety of wounds' appearance.  ...  Input features to the SVM in this algorithm are generated by a recursive sampling of multi-dimensional color histograms.  ... 
doi:10.1109/norsig.2006.275274 fatcat:fbzssbniz5enhkpdqoptv6gabm

Segmentation of wounds in the combined color-texture feature space

Marina Kolesnik, Alex Fexa, J. Michael Fitzpatrick, Milan Sonka
2004 Medical Imaging 2004: Image Processing  
In this work we describe an application of the Support Vector Machine (SVM) classifier for the segmentation of wounds in color images.  ...  We suggest a Histogram Sampling technique, which gives wider separation between wound and skin in the color space. Finally, we find a set of image features, which is typical for most types of wounds.  ...  Acknowledgements The authors thank their colleagues Kai von Lübtow and Urs Schneider of Fraunhofer-TEG, Stuttgart, whose cooperation and support has made this work possible.  ... 
doi:10.1117/12.535041 dblp:conf/miip/KolesnikF04 fatcat:zuhofbss3bdbtgcatnzrxpemyy

Studying pressure sores through illuminant invariant assessment of digital color images

Sahar Moghimi, Mohammad Hossein Miran Baygi, Giti Torkaman, Ehsanollah Kabir, Ali Mahloojifar, Narges Armanfard
2010 Journal of Zhejiang University SCIENCE C  
In this paper a technique is introduced for the assessment of pressure sores in guinea pigs, using captured color images.  ...  Different segments of the color images were divided and labeled into three classes, based on their severity status.  ...  Afsar HADDA-DIAN and Parvin MANSOORI for assistance in data analysis. This research has been supported with the resources and use of facilities at Tarbiat Modares University, Tehran, Iran.  ... 
doi:10.1631/jzus.c0910552 fatcat:ymlpw7yyqvgyddtn7rjp3ia72i

Wound Healing Assessment Using Digital Photography: A Review
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Hamidreza Mohafez, Siti Anom Ahmad, Sharifah Ahmad Roohi, Maryam Hadizadeh
2016 Journal of Biomedical Engineering and Medical Imaging  
The principles of wound assessment using digital photography were shortly described, followed by review of the related literature in four main domains: wound tissue segmentation, automated wound area measurement  ...  A series of digital images taken at regular intervals carries the most informative wound healing indexes, color and dimension, that may help clinicians to evaluate the effectiveness of a particular treatment  ...  It was concluded that 3D colour histogram sampling, produced more discriminatory set of features for SVM classifier than those of one dimensional histogram which improved the accuracy of wound area segmentation  ... 
doi:10.14738/jbemi.35.2203 fatcat:qhytuyl5xndy5diosbt4vatciq

Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches

Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder Pedersen, Diane Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu
2020 IEEE Access  
Segmentation is a key image analysis step, after which attributes of the wound segment (e.g. wound area and tissue composition) can be analyzed.  ...  In this paper, we compare the segmentation performance of AHRF and CNN approaches (FCN, U-Net, DeepLabV3) using various metrics including segmentation accuracy (dice score), inference time, amount of training  ...  This work was partly funded by the National Institutes for Health (NIH) National Institute for Biomedical Imaging and Bioengineering (NIBIB) under Grant 1R01EB025801-01.  ... 
doi:10.1109/access.2020.3014175 pmid:33251080 pmcid:PMC7695230 fatcat:tsy2ltfyjvgbpp5gvpopshazhq

Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers

Marcos Vinicius Naves Bedo, Lucio Fernandes Dutra Santos, Willian Dener Oliveira, Gustavo Blanco, Agma Juci Machado Traina, Marco Antonio Frade, Paulo Mazzoncini Azevedo-Marques, Caetano Traina Junior
2015 2015 IEEE 28th International Symposium on Computer-Based Medical Systems  
We focus on determining influence of both color and texture in the automated image classification and its implication.  ...  We employed specially designed color and texture extractors to represent the dataset images, namely: Color Layout, Color Structure, Scalable Color, Edge Histogram, Haralick, and Texture-Spectrum.  ...  ACKNOWLEDGMENTS The authors would like to thank FAPESP, CNPq, CAPES and SticAMSUD for the financial support.  ... 
doi:10.1109/cbms.2015.33 dblp:conf/cbms/BedoSOBTFMJ15 fatcat:x2jhxxbkybgonc3tzkxyqbmxmu

Segmentation and quantification of blood vessels for OCT-based micro-angiograms using hybrid shape/intensity compounding

Siavash Yousefi, Ting Liu, Ruikang K. Wang
2015 Microvascular Research  
In this paper, we propose to develop a hybrid Hessian/intensity based method to segment and quantify shape and diameter of the blood vessels innervating capillary beds that are imaged by functional OCT  ...  The proposed algorithm is tested on a wound healing model and its performance of segmentation vessels is quantified by a publicly available manual segmentation dataset.  ...  Acknowledgements This work was supported in part by research grants from the National Institutes of Health (Grant Nos. R01EY024158, R01HL093140, R01EB009682, and R01DC010201).  ... 
doi:10.1016/j.mvr.2014.09.007 pmid:25283347 pmcid:PMC4275398 fatcat:kqibiwy6incqbf4kk67yot5yvu

Wound Image Analysis Using Contour Evolution

K. Sundeep Kumar, B. Eswara Reddy
2014 International Journal of Image Graphics and Signal Processing  
In Contour Evolution, classification can be done by clustering color information, with differential quantization algorithm, the color centroids of small squares taken from segmented part of the wound image  ...  The aim of the algorithm described in this paper is to segment wound images from the normal and classify them according to the types of the wound.  ...  In the segmented images we have marked with violet color the segmented region on grayscale images. Various algorithms are used to find out region of interest in a wound image by segmenting.  ... 
doi:10.5815/ijigsp.2014.06.05 fatcat:3qorshgbgvggdhaguqxmauyuoi

Chronic Wound Healing Assessment System Based on Different Features Modalities and Non-negative Matrix Factorization (NMF) Feature Reduction

Ashraf Khalil, Mohammed Elmogy, Mohammed Ghazal, Connor Burns, Ayman El-Baz
2019 IEEE Access  
The proposed system achieved an average accuracy of 96% for tissue classification, which helps in obtaining an accurate CW healing assessment.  ...  The framework was trained and tested using 377 RGB images from Medetec wound database and national pressure ulcer advisory panel website.  ...  A histogram of tissue class labels was constructed for each image.  ... 
doi:10.1109/access.2019.2923962 fatcat:kexpqoprabcvrfddivwb4mucdi

Colour and multispectral imaging for wound healing evaluation in the context of a comparative preclinical study

Dorra Nouri, Yves Lucas, Sylvie Treuillet, R. Jolivot, F. Marzani, Sebastien Ourselin, David R. Haynor
2013 Medical Imaging 2013: Image Processing  
Accurate wound assessment is a critical task for patient care and health cost reduction at hospital but even still worse in the context of clinical studies in laboratory.  ...  It results that tissue uniformity and flatness leads to a simplified approach but requires multispectral imaging for enhanced wound delineation.  ...  The authors also thank the CHU of Limoges (Pr. Desmoulière and his team) for participation in this preclinical study.  ... 
doi:10.1117/12.2003943 dblp:conf/miip/NouriLTJM13 fatcat:aatokg6hyjbtdcdsywn3qxsgny

Image Based Artificial Intelligence in Wound Assessment: A Systematic Review [article]

D. M. Anisuzzaman
2020 arXiv   pre-print
To this end, we have carried out a systematic review of intelligent image-based data analysis and system developments for wound assessment.  ...  Specifically, we provide an extensive review of research methods on wound measurement (segmentation) and wound diagnosis (classification).  ...  A multi-dimensional color histogram sampling technique has been used by Kolesnik et. al. [36] , for segmenting wound regions.  ... 
arXiv:2009.07141v1 fatcat:mbe3fopi75cwvao5opyhgquqgq

Segmentation of images by color features: A survey

Farid Garcia-Lamont, Jair Cervantes, Asdrúbal López, Lisbeth Rodriguez
2018 Neurocomputing  
Image segmentation is an important stage for object recognition. Many methods have been proposed in the last few years for grayscale and color images.  ...  In this paper, we present a deep review of the state of the art on color image segmentation methods; through this paper, we explain the techniques based on edge detection, thresholding, histogram-thresholding  ...  In [85] multi-dimensional histograms were employed for segmentation of images of chronic wounds.  ... 
doi:10.1016/j.neucom.2018.01.091 fatcat:yla45f2hmfasxmrethzmswqoti

Front Matter: Volume 10225

2017 Eighth International Conference on Graphic and Image Processing (ICGIP 2016)  
Publication of record for individual papers is online in the SPIE Digital Library. Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  Multi-scales region segmentation for ROI separation in digital mammograms 10225 16Omega-3 chicken egg detection system using a mobile-based image processing segmentation method 10225 17 Surgical wound  ... 
doi:10.1117/12.2271086 fatcat:vo6ip5boarcsjpn3lwtlbt2ooe

Emergence of HGF/SF-Induced Coordinated Cellular Motility

Assaf Zaritsky, Sari Natan, Eshel Ben-Jacob, Ilan Tsarfaty, Elad Katz
2012 PLoS ONE  
Collective cell migration plays a major role in embryonic morphogenesis, tissue remodeling, wound repair and cancer invasion.  ...  Here we present a novel quantitative approach to analyze long term kinetics of bright field time-lapse wound healing.  ...  This work was performed in partial fulfillment of the requirements for the PhD degree of Assaf Zaritsky, Blavatnik School of Computer Science, and Sari Natan Sackler Faculty of Medicine, Tel Aviv University  ... 
doi:10.1371/journal.pone.0044671 pmid:22970283 pmcid:PMC3435317 fatcat:qlvh3r3cebgqxesbp54spd7y34
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