An Improved Approach to Image De-Noising Based on Multi-wavelet and Threshold

Zhang, S Q; Xu, X H; Lv, Junyang; Zang, X Y; He, Ning

doi:10.1088/1742-6596/48/1/078

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Theory Of Wavelet Threshold De-noising1

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2011

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“…Hard Threshold. Hard threshold is to keep datum greater than the threshold, and all data less than the threshold are put to zero [7], the formula is as following:…”

Section: Theory Of Wavelet Threshold De-noisingmentioning

confidence: 99%

Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

Yang

Ding

2011

AMM

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This paper presents a scheme for blockboard nondestructive detection. X-ray nondestructive testing system has been used to obtain blockboard x-ray images. In order to recognize defects of blockboard effectively through x-ray images, an image processing method based on wavelet transform and gray-scale mathematical morphology is proposed. Firstly, image noises are reduced by wavelet soft threshold de-noising, and then a new modified mathematical morphology edge detection operator is used to detect edges of the de-noised image. The experiment results show that the method performs well in noise-suppression and edge detection. The proposed nondestructive testing method of blockboard is practical and easy to implement.

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“…Hard Threshold. Hard threshold is to keep datum greater than the threshold, and all data less than the threshold are put to zero [7], the formula is as following:…”

Section: Theory Of Wavelet Threshold De-noisingmentioning

confidence: 99%

Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

Yang

Ding

2011

AMM

View full text Add to dashboard Cite

show abstract

An Improved Approach to Image De-Noising Based on Multi-wavelet and Threshold

Cited by 1 publication

References 6 publications

Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

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