An optimized algorithm of image stitching in the case of a multi-modal probe for monitoring the evolution of scars

Autor: Rami Kassab, Christian Pieralli, Jean-Christophe Lapayre, Sylvie Treuillet, Franck Marzani
Přispěvatelé: Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies ( FEMTO-ST ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Image - Vision, Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique ( PRISME ), Université d'Orléans ( UO ) -Ecole Nationale Supérieure d'Ingénieurs de Bourges ( ENSI Bourges ) -Université d'Orléans ( UO ) -Ecole Nationale Supérieure d'Ingénieurs de Bourges ( ENSI Bourges ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Marzani, Franck, Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Rok vydání: 2013
Předmět:
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing
Matching (graph theory)
Panorama
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-invariant feature transform
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
02 engineering and technology
autofluorescence
010501 environmental sciences
01 natural sciences
Image stitching
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
stitching
multi-modal probe
0202 electrical engineering
electronic engineering
information engineering
Computer vision
Projection (set theory)
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
0105 earth and related environmental sciences
business.industry
Fluorescence
Scars evolution
monitoring
Autofluorescence
Transformation (function)
020201 artificial intelligence & image processing
Artificial intelligence
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Algorithm
Zdroj: Proc. SPIE 8572
SPIE Photonics West, BIOS, Advanced Biomedical and Clinical Diagnostic System XI
SPIE Photonics West, BIOS, Advanced Biomedical and Clinical Diagnostic System XI, Feb 2013, San Francisco, United States. pp.85721A1-10, 2013
SPIE Photonics West, BIOS, Advanced Biomedical and Clinical Diagnostic System XI, Feb 2013, San Francisco, United States. pp.85721A1-10
ISSN: 0277-786X
DOI: 10.1117/12.2002016
Popis: International audience; We propose a new system that makes possible to monitor the evolution of scars after the excision of a tumorous dermatosis. The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: an anatomic image acquired under a white light and a functional one based on autofluorescence from the protoporphyrin within the cancer cells. For technical reasons related to the maximum size of the area covered by the probe, acquired images are too small to cover the whole scar. That is why a sequence of overlapping images is taken in order to cover the required area. The main goal of this paper is to describe the creation of two panoramic images (anatomic and functional). Fluorescence images do not have enough salient information for matching the images; stitching algorithms are applied over each couple of successive white light images to produce an anatomic panorama of the entire scar. The same transformations obtained from this step are used to register and stitch the functional images. Several experiments have been implemented using different stitching algorithms (SIFT, ASIFT and SURF), with various transformation parameters (angles of rotation, projection, scaling, etc...) and different types of skin images. We present the results of these experiments that propose the best solution. Thus, clinician has two panoramic images superimposed and usable for diagnostic support. A collaborative layer is added to the system to allow sharing panoramas among several practitioners over different places.
Databáze: OpenAIRE
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