Fast Pattern Spectra using Tree Representation of the Image for Patch Retrieval

Autor: Jérôme Moré, Behzad Mirmahboub, David Youssefi, François Merciol, Sébastien Lefèvre, Alain Giros

Publikováno v: Discrete Geometry and Mathematical Morphology 2021
DGMM 2021-IAPR International Conference on Discrete Geometry and Mathematical Morphology
DGMM 2021-IAPR International Conference on Discrete Geometry and Mathematical Morphology, May 2021, Uppsala / Virtual, Sweden. pp.107-119, ⟨10.1007/978-3-030-76657-3_7⟩
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
Discrete Geometry and Mathematical Morphology 2021, pp.107-119, 2021, ⟨10.1007/978-3-030-76657-3_7⟩

International audience; We extend the notion of content based image retrieval to patch retrieval where the goal is to find the similar patches to a query patch in a large image. Naive searching for similar patches by sequentially computing and compar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b59e72f3f4756fcb622888043b8ec9
https://hal.science/hal-03354933/file/dgmm2021behzad.pdf

Image retargeting using depth assisted saliency map

Autor: Behzad Mirmahboub, F. Shafieyan, Shahram Shirani, Nader Karimi, Shadrokh Samavi

Publikováno v: Signal Processing: Image Communication. 50:34-43

Retargeting algorithms are used to transfer and display images on devices with various sizes and resolutions. All of these algorithms try to preserve the important parts of image against distortions while producing a retargeted image with visual qual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::13879a4cef7d33269a5088b50873d251
https://doi.org/10.1016/j.image.2016.10.006

Liver Segmentation in Abdominal CT Images Using Probabilistic Atlas and Adaptive 3D Region Growing

Autor: Kayvan Najarian, Shima Rafiei, Banafsheh Felfeliyan, Shadrokh Samavi, Behzad Mirmahboub, S. M. Reza Soroushmehr, Nader Karimi

Publikováno v: EMBC

Automatic liver segmentation plays a vital role in computer-aided diagnosis or treatment. Manual segmentation of organs is a tedious and challenging task and is prone to human errors. In this paper, we propose innovative pre-processing and adaptive 3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7721ad22fa22bf001428a525537d6ee3
https://doi.org/10.1109/embc.2019.8857835

Distance penalization and fusion for person re-identification

Autor: Mohamed Lamine Mekhalfi, Behzad Mirmahboub, Vittorio Murino

Publikováno v: WACV

This paper presents a novel person re-identification framework based on data fusion. The pipeline of the proposed method is composed of two stages. First, a metric learning paradigm is applied on a bunch of distinct feature extractors to produce an e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1f6f34486c62edbe38dbf27cd5d655b
https://doi.org/10.1109/wacv.2017.150

Bone extraction in X-ray images by analysis of line fluctuations

Autor: Shadrokh Samavi, Kayvan Najarian, S. Kazeminia, Behzad Mirmahboub, Nader Karimi, S.M.R. Soroushmehr

Publikováno v: ICIP

Segmentation of X-ray bone images is of concern in many medical applications such as detection of osteoporosis and bone fractures. Segmentation of such images is a challenging process. Varying brightness throughout the image makes it difficult to sep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec4f142474d97b01eaaa3b74b0098cb1
https://doi.org/10.1109/icip.2015.7350926