A unified histogram and laplacian based for image sharpening

Pattanasethanon, Petcharat; Attachoo, Boonwat

doi:10.1109/iscit.2009.5341078

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…First, the outline of the finger is sharpened through the Laplacian filter and histogram equalization is carried out. 32 And then, through finding the largest circle, a bounding box is obtained and the nail plate ROI is extracted. Figure 6 illustrates the results of the experiment.…”

Section: The Proposed Systemmentioning

confidence: 99%

Fingernail analysis management system using microscopy sensor and blockchain technology

Lee

Yang

2018

International Journal of Distributed Sensor Networks

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In traditional Chinese medicine, the growth situation of the surface of nails reflects the physiological condition of the human body. Diagnosis by nail can effectively predict and prevent disease. Human nails have a high degree of uniqueness, and it can be used for biometric recognition. In this work, microscope sensor was used to capture the clear image and segment the lunula and nail plate effectively through image preprocessing. Fingernails' image is managed as the identity authentication. Histogram of oriented gradients and local binary patterns are used to capture the characteristic value. It uses support vector machine and random forest tree for classification. The performance of each feature extraction algorithm was analyzed for the two classifiers and the deep neural network algorithm was used comparatively. Furthermore, the security and privacy of the Internet of Things is still a challenge. This work uses the highly anonymous blockchain technology to effectively protect data privacy and manage each user's data through the blockchain, in which any change or manipulation can be recorded and tracked, and the data security is improved. Therefore, this article presents a nail analysis management system with the use of microscopy sensor and blockchain.

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Section: The Proposed Systemmentioning

confidence: 99%

Fingernail analysis management system using microscopy sensor and blockchain technology

Lee

Yang

2018

International Journal of Distributed Sensor Networks

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“…Thus, knowing the purpose of the image is important because making the right decision for which techniques to use is required [2]. The techniques in this research are based on the past research [2,3] which can be defined as the function below [1,11], respectively.…”

Section: Histogram Equalizationmentioning

confidence: 99%

“…The process for image filtering would filter noise, as a consequently the output image has different characteristic from the input [7]. For the desired result the filtering processes enhances and attenuates some qualities of the image [10].However, the sharpening filter used in this research is shown in equations below [1] respectively.…”

Section: Sharpening Filtermentioning

confidence: 99%

Hardware Acceleration of Histogram Equalization and Image Sharpening Filter on NIOSII Processor Based SOC on FPGA

Kishore¹,

Addanki²

2011

IJCA

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In this paper, we presents a framework for hardware accelerating methods for video post processing system implemented on FPGA. The histogram equalization and image-sharpening filter are the algorithms ported onto the SOC having Altera NIOS-II soft processor. Custom instructions are chosen by identifying the most frequently used tasks in the algorithm and the instruction set of NIOS-II processor has been extended. Saturation and the Histogram are the new instructions added to the processor that are implemented in hardware and interfaced to the NIOS-II processor. The software implementation of the algorithms has been modified to use the new instructions added for computing the saturation and histogram calculation. Performance of the software implementation of the histogram equalization and sharpening algorithms is boosted by these new instructions added to the NIOS-II processor. The comparison shows that the implemented tasks have been accelerated by -multiple‖ times. The saturation instruction is generic instruction, which can be used in many Image processing applications. The benefit of speed is obtained at the cost of very small hardware resources.

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An Efficient Internet Map Tiles Rendering Approach on High Resolution Devices

Guo

Huang³

et al. 2021

Journal of Spatial Science

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A unified histogram and laplacian based for image sharpening

Cited by 5 publications

References 9 publications

Fingernail analysis management system using microscopy sensor and blockchain technology

Fingernail analysis management system using microscopy sensor and blockchain technology

Hardware Acceleration of Histogram Equalization and Image Sharpening Filter on NIOSII Processor Based SOC on FPGA

An Efficient Internet Map Tiles Rendering Approach on High Resolution Devices

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