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Virtual deformable image sensors: Towards to a general framework for image sensors with flexible grids and forms
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies. Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.ORCID iD: 0000-0003-3887-5972
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.ORCID iD: 0000-0003-4327-117x
2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 6, article id 1856Article in journal (Refereed) Published
Abstract [en]

Our vision system has a combination of different sensor arrangements from hexagonal to elliptical ones. Inspired from this variation in type of arrangements we propose a general framework by which it becomes feasible to create virtual deformable sensor arrangements. In the framework for a certain sensor arrangement a configuration of three optional variables are used which includes the structure of arrangement, the pixel form and the gap factor. We show that the histogram of gradient orientations of a certain sensor arrangement has a specific distribution (called ANCHOR) which is obtained by using at least two generated images of the configuration. The results showed that ANCHORs change their patterns by the change of arrangement structure. In this relation pixel size changes have 10-fold more impact on ANCHORs than gap factor changes. A set of 23 images; randomly chosen from a database of 1805 images, are used in the evaluation where each image generates twenty-five different images based on the sensor configuration. The robustness of ANCHORs properties is verified by computing ANCHORs for totally 575 images with different sensor configurations. We believe by using the framework and ANCHOR it becomes feasible to plan a sensor arrangement in the relation to a specific application and its requirements where the sensor arrangement can be planed even as combination of different ANCHORs. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Place, publisher, year, edition, pages
MDPI AG , 2018. Vol. 18, no 6, article id 1856
Keywords [en]
Deformable sensor, Framework, Hexagonal, HoG, Penrose, Pixel form, Sensor grid, Deformation, Image sensors, Pixels, Histogram of gradients, Sensor arrangements, Sensor configurations, Sensor grids, Specific distribution, Anchors
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Other Computer and Information Science
Identifiers
URN: urn:nbn:se:bth-16631DOI: 10.3390/s18061856Scopus ID: 2-s2.0-85048303219OAI: oai:DiVA.org:bth-16631DiVA, id: diva2:1227972
Available from: 2018-06-27 Created: 2018-06-27 Last updated: 2018-06-29Bibliographically approved

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Wen, WeiKhatibi, Siamak

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