Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions
Image stitching of similar scenes is a challenging task when scenes are captured under varying illuminations between the scenes, varying camera positions, varying orientations either in axial or azimuth. In this paper, we explore a seamless image stitching algorithm to address the above-said issues...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157818301241 |
| _version_ | 1819112565379170304 |
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| author | D. Ane Delphin Mahabaleswara R. Bhatt D. Thiripurasundari |
| author_facet | D. Ane Delphin Mahabaleswara R. Bhatt D. Thiripurasundari |
| author_sort | D. Ane Delphin |
| collection | DOAJ |
| description | Image stitching of similar scenes is a challenging task when scenes are captured under varying illuminations between the scenes, varying camera positions, varying orientations either in axial or azimuth. In this paper, we explore a seamless image stitching algorithm to address the above-said issues by applying techniques of dehazing on the acquired scenes and before identifying the image features and holoentropy aided feature matching on the Scale Invariant Feature Transform (SIFT) based features for the image. Experimentation of the proposed system is compared with the existing image stitching methods using squared distance, Minkowski and pairwise Euclidean distance for feature matching. The proposed seamless stitching method is evaluated based on the metrics, horizontal square gradient value (HSGV) and vertical square gradient value (VSGV). The obtained results are shown to be feasible for stitching the nonuniform or illumination variation multiple images. The exploration of above said stitching algorithm is intended to reduce the number of computations and inconsistencies in the stitched results. |
| first_indexed | 2024-12-22T04:15:32Z |
| format | Article |
| id | doaj.art-e6b6f2d0b945423d9fcc3d88efcc9a47 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-12-22T04:15:32Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-e6b6f2d0b945423d9fcc3d88efcc9a472022-12-21T18:39:26ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782021-11-0133910961107Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positionsD. Ane Delphin0Mahabaleswara R. Bhatt1D. Thiripurasundari2T. John Institute of Technology, Bangalore, IndiaBMS College of Engineering, Bangalore, IndiaVIT University, Chennai, IndiaImage stitching of similar scenes is a challenging task when scenes are captured under varying illuminations between the scenes, varying camera positions, varying orientations either in axial or azimuth. In this paper, we explore a seamless image stitching algorithm to address the above-said issues by applying techniques of dehazing on the acquired scenes and before identifying the image features and holoentropy aided feature matching on the Scale Invariant Feature Transform (SIFT) based features for the image. Experimentation of the proposed system is compared with the existing image stitching methods using squared distance, Minkowski and pairwise Euclidean distance for feature matching. The proposed seamless stitching method is evaluated based on the metrics, horizontal square gradient value (HSGV) and vertical square gradient value (VSGV). The obtained results are shown to be feasible for stitching the nonuniform or illumination variation multiple images. The exploration of above said stitching algorithm is intended to reduce the number of computations and inconsistencies in the stitched results.http://www.sciencedirect.com/science/article/pii/S1319157818301241Image stitchingPanoramic imagesHoloentropyIlluminationSeamless stitching |
| spellingShingle | D. Ane Delphin Mahabaleswara R. Bhatt D. Thiripurasundari Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions Journal of King Saud University: Computer and Information Sciences Image stitching Panoramic images Holoentropy Illumination Seamless stitching |
| title | Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions |
| title_full | Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions |
| title_fullStr | Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions |
| title_full_unstemmed | Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions |
| title_short | Holoentropy measures for image stitching of scenes acquired under CAMERA unknown or arbitrary positions |
| title_sort | holoentropy measures for image stitching of scenes acquired under camera unknown or arbitrary positions |
| topic | Image stitching Panoramic images Holoentropy Illumination Seamless stitching |
| url | http://www.sciencedirect.com/science/article/pii/S1319157818301241 |
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