Embedded registration of visible and infrared images in real time for noninvasive skin cancer screening

MICROPROCESSORS AND MICROSYSTEMS

dc.creatorInostroza-Paredes, Fabián Antonio
dc.creatorDíaz-Jara, Silvana Lorena
dc.creatorCárdenas-Drews, Javier
dc.creatorGodoy-Medel, Sebastián E
dc.creatorFigueroa-Toro, Miguel Ernesto
dc.date2021-08-23T22:55:57Z
dc.date2022-07-07T02:34:18Z
dc.date2021-08-23T22:55:57Z
dc.date2022-07-07T02:34:18Z
dc.date2017
dc.date.accessioned2023-08-22T04:43:19Z
dc.date.available2023-08-22T04:43:19Z
dc.identifier1151278
dc.identifier1151278
dc.identifierhttps://hdl.handle.net/10533/251732
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8320974
dc.descriptionWe present an embedded system architecture that implements real-time multimodal registration to enable dual-camera spatio-temporal feature extraction in a skin cancer screening application. We test the system on a combination of visible and long-wave infrared image sequences, but it can be easily extended to setups operating in different sections of the spectrum. Image registration is performed by matching common features between each frame of a visible image to each frame of an infrared image sequence to estimate a projective transformation between them. The parameters of this transformation are estimated recursively on line with the video, thus enabling image registration in real time. The algorithm is implemented using a combination of embedded software and dedicated hardware units on a heterogeneous reconfigurable system-on-a-chip. The hardware performs feature detection and extraction, while the software estimates the transformation parameters and maps each visible video frame onto the infrared image coordinates. implemented on an FPGA, our prototype runs at 540 frames per second with a 135 MHz clock, consumes 1.8 W and utilizes 29% and 54% of the logic and multiplier resources of the chip, respectively.
dc.descriptionRegular 2015
dc.descriptionFONDECYT
dc.descriptionFONDECYT
dc.languageeng
dc.relationhandle/10533/111557
dc.relationhandle/10533/111541
dc.relationhandle/10533/108045
dc.relationhttps://doi.org/10.1016/j.micpro.2017.09.006
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsinfo:eu-repo/semantics/article
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleEmbedded registration of visible and infrared images in real time for noninvasive skin cancer screening
dc.titleMICROPROCESSORS AND MICROSYSTEMS
dc.typeArticulo
dc.typeinfo:eu-repo/semantics/publishedVersion


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