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The Impact of Curviness on Four Different Image Sensor Forms and Structures

The arrangement and form of the image sensor have a fundamental effect on any further image processing operation and image visualization. In this paper, we present a software-based method to change the arrangement and form of pixel sensors that generate hexagonal pixel forms on a hexagonal grid. We...

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Detalles Bibliográficos
Autores principales: Wen, Wei, Khatibi, Siamak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856139/
https://www.ncbi.nlm.nih.gov/pubmed/29389892
http://dx.doi.org/10.3390/s18020429
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author Wen, Wei
Khatibi, Siamak
author_facet Wen, Wei
Khatibi, Siamak
author_sort Wen, Wei
collection PubMed
description The arrangement and form of the image sensor have a fundamental effect on any further image processing operation and image visualization. In this paper, we present a software-based method to change the arrangement and form of pixel sensors that generate hexagonal pixel forms on a hexagonal grid. We evaluate four different image sensor forms and structures, including the proposed method. A set of 23 pairs of images; randomly chosen, from a database of 280 pairs of images are used in the evaluation. Each pair of images have the same semantic meaning and general appearance, the major difference between them being the sharp transitions in their contours. The curviness variation is estimated by effect of the first and second order gradient operations, Hessian matrix and critical points detection on the generated images; having different grid structures, different pixel forms and virtual increased of fill factor as three major properties of sensor characteristics. The results show that the grid structure and pixel form are the first and second most important properties. Several dissimilarity parameters are presented for curviness quantification in which using extremum point showed to achieve distinctive results. The results also show that the hexagonal image is the best image type for distinguishing the contours in the images.
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spelling pubmed-58561392018-03-20 The Impact of Curviness on Four Different Image Sensor Forms and Structures Wen, Wei Khatibi, Siamak Sensors (Basel) Article The arrangement and form of the image sensor have a fundamental effect on any further image processing operation and image visualization. In this paper, we present a software-based method to change the arrangement and form of pixel sensors that generate hexagonal pixel forms on a hexagonal grid. We evaluate four different image sensor forms and structures, including the proposed method. A set of 23 pairs of images; randomly chosen, from a database of 280 pairs of images are used in the evaluation. Each pair of images have the same semantic meaning and general appearance, the major difference between them being the sharp transitions in their contours. The curviness variation is estimated by effect of the first and second order gradient operations, Hessian matrix and critical points detection on the generated images; having different grid structures, different pixel forms and virtual increased of fill factor as three major properties of sensor characteristics. The results show that the grid structure and pixel form are the first and second most important properties. Several dissimilarity parameters are presented for curviness quantification in which using extremum point showed to achieve distinctive results. The results also show that the hexagonal image is the best image type for distinguishing the contours in the images. MDPI 2018-02-01 /pmc/articles/PMC5856139/ /pubmed/29389892 http://dx.doi.org/10.3390/s18020429 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wen, Wei
Khatibi, Siamak
The Impact of Curviness on Four Different Image Sensor Forms and Structures
title The Impact of Curviness on Four Different Image Sensor Forms and Structures
title_full The Impact of Curviness on Four Different Image Sensor Forms and Structures
title_fullStr The Impact of Curviness on Four Different Image Sensor Forms and Structures
title_full_unstemmed The Impact of Curviness on Four Different Image Sensor Forms and Structures
title_short The Impact of Curviness on Four Different Image Sensor Forms and Structures
title_sort impact of curviness on four different image sensor forms and structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856139/
https://www.ncbi.nlm.nih.gov/pubmed/29389892
http://dx.doi.org/10.3390/s18020429
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