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Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip
(
Elsevier B.V.
, 2018 , Article)
© 2018 Elsevier B.V. Cerebral aneurysm is a weakness in a blood vessel that may enlarge and bleed into the surrounding area, which is a life-threatening condition. Therefore, early and accurate diagnosis of aneurysm is ...
Stain deconvolution of histology images via independent component analysis in the wavelet domain
(
IEEE Computer Society
, 2016 , Conference Paper)
With the ubiquity of digital slide scanners, histology image analysis is rapidly emerging as an active area of research. Several histology image analysis algorithms such as those for mitotic cell detection, nuclei segmentation ...
Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
(
IEEE Computer Society
, 2016 , Conference Paper)
In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ...
Arabic handwriting recognition using sequential minimal optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Due to the variability of writing styles and to other problems related to the nature of Arabic scripts, the recognition of Arabic handwriting is still awaiting accurate results. Segmentation of Arabic handwritten words ...
An interactive annotation tool for indexing Historical manuscripts
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
When a huge collection of digitized old manuscripts are obtained as a part of their preservation, an appropriate indexing technique is essential to search through them. In this paper, we have proposed a novel tool to assist ...
Binarization of degraded document images using convolutional neural networks based on predicted two-channel images
(
IEEE Computer Society
, 2019 , Conference Paper)
Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels. This paper proposes Convolutional Neural Networks (CNNs) based on ...
Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
(
Elsevier B.V.
, 2015 , Article)
In this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize ...
Conceptual data sampling for breast cancer histology image classification
(
Elsevier Ltd
, 2017 , Article)
Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ...
A simple cross correlation switched beam system (XSBS) for angle of arrival estimation
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
We propose a practical, simple and hardware friendly, yet novel and efficient, angle of arrival (AoA) estimation system. Our intuitive, two-phases cross-correlation-based system requires a switched beam antenna array with ...