Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Bolan Su"'
Autor:
Bolan Su, Shijian Lu
Publikováno v:
Pattern Recognition. 63:397-405
Recognition of texts in scenes is one of the most important tasks in many computer vision applications. Though different scene text recognition techniques have been developed, scene text recognition under a generic condition is still a very open and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::febb7e9c075ae91f3646ab1df8c55d8f
https://doi.org/10.1016/j.patcog.2016.10.016
https://doi.org/10.1016/j.patcog.2016.10.016
Autor:
Bolan Su, Shangxuan Tian, Chew Lim Tan, Yue Lu, Ujjwal Bhattacharya, Qingqing Wang, Xiaohua Wei, Shijian Lu
Publikováno v:
Pattern Recognition. 51:125-134
Automatic machine reading of texts in scenes is largely restricted by the poor character recognition accuracy. In this paper, we extend the Histogram of Oriented Gradient (HOG) and propose two new feature descriptors: Co-occurrence HOG (Co-HOG) and C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2659e5d2cdee4b6cd622c6440e080d6
https://doi.org/10.1016/j.patcog.2015.07.009
https://doi.org/10.1016/j.patcog.2015.07.009
Autor:
Boon Chuan Pang, Chew Lim Tan, C. C. Tchoyoson Lim, Cheng Kiang Lee, Bolan Su, Ruizhe Liu, Shimiao Li, Tze-Yun Leong
Publikováno v:
Computerized Medical Imaging and Graphics. 38:1-14
Brain midline shift (MLS) is a significant factor in brain CT diagnosis. In this paper, we present a new method of automatically detecting and quantifying brain midline shift in traumatic injury brain CT images. The proposed method automatically pick
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d8895b58f376e102733c993aa47bc93
https://doi.org/10.1016/j.compmedimag.2013.11.001
https://doi.org/10.1016/j.compmedimag.2013.11.001
Publikováno v:
IEEE Transactions on Image Processing. 22:1408-1417
Segmentation of text from badly degraded document images is a very challenging task due to the high inter/intra-variation between the document background and the foreground text of different document images. In this paper, we propose a novel document
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4515da7d53ee412046aff062de9ac03a
https://doi.org/10.1109/tip.2012.2231089
https://doi.org/10.1109/tip.2012.2231089
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 13:303-314
Document images often suffer from different types of degradation that renders the document image binarization a challenging task. This paper presents a document image binarization technique that segments the text from badly degraded document images a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dadcc30b8a4f579dcb33faf144757043
https://doi.org/10.1007/s10032-010-0130-8
https://doi.org/10.1007/s10032-010-0130-8
Publikováno v:
Advanced Materials Research. :1363-1366
This paper presents a two-step approach for electrospinning of hydroxyapatite/chitosan (HAp/CTS) nanocomposite, which was firstly prepared by an in situ co-precipitation method. Continuous HAp/CTS nanofibers with diameters of 214 ± 25 nm were produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3030d018eca5de5b727007b067f1ef2
https://doi.org/10.4028/www.scientific.net/amr.47-50.1363
https://doi.org/10.4028/www.scientific.net/amr.47-50.1363
Publikováno v:
ACPR
Traumatic brain injury (TBI) is a major cause of deaths worldwide. In this paper, we propose a framework for automatic brain CT image analysis and Glasgow Outcome Scale (GOS) prediction for TBI cases. For each TBI case, we first select a fixed number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90539182c316bcd7880352e0cc92bdb9
https://doi.org/10.1109/acpr.2015.7486531
https://doi.org/10.1109/acpr.2015.7486531
Publikováno v:
ICDAR
Recognition of handwritten text is a useful technique that can be applied in different applications, such as signature recognition, bank check recognition, etc. However, the off-line handwritten text recognition in an unconstrained situation is still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c004a2f828fea2442acc233ff3194c34
https://doi.org/10.1109/icdar.2015.7333789
https://doi.org/10.1109/icdar.2015.7333789
Publikováno v:
ICDAR
Text segmentation provides important clues for the accurate identification of character locations and the analysis of character properties such as shape estimation and texture synthesis. In this paper, we propose a robust text segmentation method tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d6b7499f3b53c165eed140b0500d1f9
https://doi.org/10.1109/icdar.2015.7333778
https://doi.org/10.1109/icdar.2015.7333778
Autor:
Shijian Lu, Bolan Su
Publikováno v:
Computer Vision – ACCV 2014 ISBN: 9783319168647
ACCV (1)
ACCV (1)
Scene text recognition is a useful but very challenging task due to uncontrolled condition of text in natural scenes. This paper presents a novel approach to recognize text in scene images. In the proposed technique, a word image is first converted i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2900e07a023669451a150e50ef324753
https://doi.org/10.1007/978-3-319-16865-4_3
https://doi.org/10.1007/978-3-319-16865-4_3
