Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hemalata Bhujle"'
Publikováno v:
Journal of Materials Engineering and Performance. 30:8065-8078
Forming limit diagrams (FLDs) are widely used in sheet metal industries to assess formability. These are graphical representations of major and minor strains on a 2-D plot separating safe and unsafe regions. Limiting strains were measured by digital
Publikováno v:
Journal of Materials Engineering and Performance. 29:6066-6077
In the present work, drawing quality (DQ) and interstitial-free (IF) steel sheets were subjected to limiting dome height tests for determining strain-based forming limit diagrams (FLDs) experimentally and effect of dynamic (variable) material propert
Publikováno v:
Biomedical Signal Processing and Control. 47:252-261
Denoising Magnetic Resonance (MR) image is a challenging task. These images usually comprise more features and structural details when compared to other types of images. These structural details in MR images provide additional information to physicia
Publikováno v:
Journal of Materials Engineering and Performance. 30:8079-8079
Publikováno v:
SPCOM
Denoising algorithms are used for the enhancement of magnetic resonance (MR) images. MR images possess more structural details compared to normal images which have to be preserved for better diagnosis. Non-local means (NLM) filter is proved to be the
Publikováno v:
IndraStra Global.
The aim of this paper is to improve both accuracy and computational efficiency of non-local means video (NLMV) denoising algorithm. A technique of principal component analysis (PCA) is used to reduce the heavy dimensionality of patches. A pre-process
Novel Speed-Up Strategies for Non-Local Means Denoising With Patch and Edge Patch Based Dictionaries
Autor:
Hemalata Bhujle, Subhasis Chaudhuri
Publikováno v:
IEEE Transactions on Image Processing. 23:356-365
In this paper, a novel technique to speed-up a non-local means (NLM) filter is proposed. In the original NLM filter, most of its computational time is spent on finding distances for all the patches in the search window. Here, we build a dictionary in
Autor:
Hemalata Bhujle
Publikováno v:
ICVGIP
In this paper feature-preserving denoising scheme for fluorescence video microscopy is presented. Fluorescence image sequences comprise of edges and fine structures with fast moving objects. Improving signal to noise ratio (SNR) while preserving stru
Autor:
Hemalata Bhujle
Publikováno v:
2016 International Conference on Signal Processing and Communications (SPCOM).
In this paper a novel fusion strategy for multiband images is presented. The proposed technique preserves the strong and weak features in the multiband images in an appropriate proportion while fusing. The fused image is computed with the normalized
Autor:
Hemalata Bhujle
Publikováno v:
ICVGIP
Harris corner detector though detects corners with some precision, posesses drawbacks like smoothing out of weak corners and degraded localization accuracy. In this paper, we propose a novel corner detection algorithm to overcome these problems. We c