The Imaging Science Journal, Volume 65, Issue 2 (2017)

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The Imaging Science Journal, Volume 65, Issue 2 (2017)

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Articles

Article
Zero-stopping constraint-based hybrid tracking model for dynamic and high-dense crowd videos
M. Kumar & C. Bhatnagar
Pages: 75-86
Published online: 09 Mar 2017
AbstractforZero-stopping constraint-based hybrid tracking model for dynamic and high-dense crowd videos | Full Text | References | PDF (3.5 MB)
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Article
A sub-region image registration algorithm with weight-based hierarchical importance sample consensus for moving target detection
Fan Li & Shanshan Liu
Pages: 87-97
Published online: 22 Mar 2017
AbstractforA sub-region image registration algorithm with weight-based hierarchical importance sample consensus for moving target detection | Full Text | References | PDF (2.1 MB)
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Article
REPro.JPEG: a new image compression approach based on reduction/expansion image and JPEG compression for dermatological medical images
Hedi Amri, Ali Khalfallah, Jean-Christophe Lapayre & Med-Salim Bouhlel
Pages: 98-107
Published online: 09 Mar 2017
AbstractforREPro.JPEG: a new image compression approach based on reduction/expansion image and JPEG compression for dermatological medical images | Full Text | References | PDF (1.9 MB)
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Article
Efficient Landsat image fusion using fuzzy and stationary discrete wavelet transform
Dilbag Singh, Deepak Garg & Husanbir Singh Pannu
Pages: 108-114
Published online: 07 Mar 2017
AbstractforEfficient Landsat image fusion using fuzzy and stationary discrete wavelet transform | Full Text | References | PDF (1.9 MB)
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Article
Modelling of spatial causality among distinctive properties of an image using conditional random field for image classification
Fariborz Taherkhani
Pages: 115-123
Published online: 15 Mar 2017
AbstractforModelling of spatial causality among distinctive properties of an image using conditional random field for image classification | Full Text | References | PDF (1.5 MB)
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Article
A novel approach for characterisation of ischaemic stroke lesion using histogram bin-based segmentation and gray level co-occurrence matrix features
R. Kanchana & R. Menaka
Pages: 124-136
Published online: 13 Mar 2017
AbstractforA novel approach for characterisation of ischaemic stroke lesion using histogram bin-based segmentation and gray level co-occurrence matrix features | Full Text | References | PDF (3.2 MB)
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