An improvement in the moment‐preserving thresholding method

Chen, I‐Ping; Lai, Ming-Yi; Wang, Lingling

doi:10.1002/ima.20169

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…As shown in original "Cameraman" In this method of thresholding, the local statistics and SSIM index are calculated within the 3 3  local window, and then the PSSIM is produced by Eq. (13). In order to find out what window size will produce an optimal threshold value, we have tested all the test images with different window size N .…”

Section: Real Image Resultsmentioning

confidence: 99%

“…Then the primary definition of 2-D entropy was also replaced by 2-D Renyi's entropy [4] and 2-D Tsallis entropy [11] by Sahoo and Arora. Tsai's moment-preserving thresholding method was a representative one for another small group thresholding method which considered that the grayscale moments of the histogram kept unchanged before and after thresholding [12], and an improved Tsai's method was also proposed [13].…”

Section: Introductionmentioning

confidence: 99%

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Threshold Selection using Partial Structural Similarity

Lu¹,

Yan²

2011

JDCTA

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A novel image threshold selection approach based on structural similarity (SSIM) is proposed. The thresholded image is obtained first, then comparison regions are extracted based on the local variance of the neighborhood of the thresholded image. Due to the characteristic of comparison regions, the conventional SSIM expression is simplified as a nonparametric form, and the partial SSIM (PSSIM) is defined. The optimal threshold is selected by maximizing the PSSIM criterion function at last. Besides the introduction of a novel approach, this is also the first attempt to expand the application scope of SSIM to range image thresholding in general. The proposed approach has an advantage over thresholding methods based on the histogram. The method was tested on a variety of images including the synthetic image and real images. Experimental results show that the proposed approach achieves better applicability, preferable ability for extracting object and better anti-noise capability than popular methods.

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Section: Real Image Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Threshold Selection using Partial Structural Similarity

Lu¹,

Yan²

2011

JDCTA

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show abstract

“…Following which, the intensity (contrast) saliency map is constructed through a linear combination of the pyramid levels decomposed earlier. A threshold value is then computed using the improved moment-preserving threshold method proposed by Chen [16]. The ROI is then defined through binarization of the saliency map using the computed threshold.…”

Section: Our Proposed Watermarking Schemementioning

confidence: 99%

A Salient Region Watermarking Scheme for Digital Mammogram Authentication

Wong¹,

Lau²,

Chong³

et al. 2013

IJIMT

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A region of interest (ROI) based fragile watermarking scheme for digital mammogram authentication is presented in this paper. Here, we propose a new mammogram segmentation scheme for the automatic definition of the ROI for a given mammogram. Difference Expansion based embedding techniques have been used to provide authentication features for the given mammogram. Furthermore, we have implemented the proposed watermarking scheme in both MATLAB and C. Through exploiting the inherent parallelism in the low level image processing layer, we have ported the scheme onto the CUDA platform to further accelerate the real time performance of the proposed scheme. Experimental results and discussions are presented towards the end of this paper.

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Improvement of defect size and morphological estimation in shearography inspection by wavelet transform

Allevi

Pandarese

Revel

2019

Review of Scientific Instruments

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Speckle shearography is often used in the aerospace industry to detect defects in composite materials because it allows noncontact, full field, and fast measurements. However, despite this advantage, this nondestructive technique is still not widely established, due to its limitations in performing defect quantitative estimations. The main issue lies in the extrapolation of phase profile boundaries, which represent defect edges. In this paper, this was achieved by studying the multimodal distribution of a characteristic parameter, called structural intensity, which is the probability of finding a denser population of local maxima of wavelet coefficients at a given position and adding an adaptive threshold selection in the structural intensity distribution. Once the damage boundaries were detected, the defect dimensions were computed by subtracting the local shearing amount, which was defined by a circle detection code, from each coordinate in both Cartesian directions. The paper shows an improvement to the algorithms able to detect defect area and perform morphological estimation previously developed by the authors and an in-depth study of the parameters involved in these algorithms. This resulted in both a high accuracy (0.04%) revealed by the calibration process on a PVC test panel and a close morphological agreement with the ultrasound reconstruction of unknown defects in composite materials. Thanks to this improvement, shearography becomes a quantitative inspection technique that takes few minutes compared to ultrasound inspection of the same area, which may require up to an entire day.

show abstract

An improvement in the moment‐preserving thresholding method

Cited by 7 publications

References 14 publications

Threshold Selection using Partial Structural Similarity

Threshold Selection using Partial Structural Similarity

A Salient Region Watermarking Scheme for Digital Mammogram Authentication

Improvement of defect size and morphological estimation in shearography inspection by wavelet transform

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