A FNL Means De-noise Algorithm Based on Gradient Calibration

Li, PJin; Wang, P PYanwei; Wei, Ping; Wang, P Dada; Yu, PHong

doi:10.4156/ijact.vol3.issue9.19

Cited by 3 publications

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Application Research on the analysis of Biological detection image segmentation using PDE

Wang¹,

Chen²

2015

Advances in Intelligent Systems Research

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Abstract. Partial differential equation(PDE) plays an important role in the field of image segmentation in biological detection. According to the analysis of some problems existing in the process of current biological detection image segmentation, this research set up a kind of image analysis and processing of biological detection algorithm based on PDE.Through the analysis of PDE in image processing and application situation of development methods, this study constructed a biological detection image segmentation application model based on PDE. The results show that the PDE is a mathematical operation as the foundation, and with an open framework for development mode. PDE is a biological detection very effective image segmentation analysis tool that can solve the image topology in biology of high complexity and noise problems.

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Application Research on the analysis of Biological detection image segmentation using PDE

Wang¹,

Chen²

2015

Advances in Intelligent Systems Research

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An Empirical Mode Decomposition Signal Denoising Method Based on Block Energy

Zhang¹,

Shen²,

Feng³

et al. 2012

IJACT

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De-ghosting Method for Image Stitching

Tang¹,

Shin²,

Liao³

2012

JDCTA

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Ghosting artifact in the field of image stitching is a common problem and the elimination of it is not an easy task. In this paper, we propose an intuitive technique according to a stitching line based on a novel energy map which is essentially a combination of gradient map which indicates the presence of structures and prominence map which determines the attractiveness of a region. We consider a region is of significance only if it is both structural and attractive. Using this improved energy map, the stitching line can easily skirt around the moving objects or salient parts based on the philosophy that human eyes mostly notice only the salient features of an image. We compare result of our method to those of 4 state-of-the-art image stitching methods and it turns out that our method outperforms the 4 methods in removing ghosting artifacts.

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A FNL Means De-noise Algorithm Based on Gradient Calibration

Cited by 3 publications

References 0 publications

Application Research on the analysis of Biological detection image segmentation using PDE

Application Research on the analysis of Biological detection image segmentation using PDE

An Empirical Mode Decomposition Signal Denoising Method Based on Block Energy

De-ghosting Method for Image Stitching

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