Similarity measures for automatic defect detection on patterned textures

Asha, V; Bhajantri, Nagappa U.; Nagabhushan, P.

doi:10.1504/ijict.2012.048758

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…A low MSE, high PSNR, UIQI and SSIM closer to 1 indicate that the distortion in the steo image is not at significant level. Table 2 shows the result of security analysis (SA) [3,9] measures, including Jaccard Measure (J), Intersection (I), Correlation (C), Chi-Square (CS) and Bhattacharya (B), computed between the cover and stego images of Figure 1.…”

Section: Resultsmentioning

confidence: 99%

Experimental Review of Steganography Method that uses 5th, 6th and 7th Bit of a Pixel

Rashid¹,

Rahim²

2015

IJCA

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This paper is the detailed experimental analysis and review of the steganography method "A New Image Steganograpgy Approach for Information Secrity Using Gray Level Images in Spatial Domain" that uses 5 th , 6 th and 7 th bit of the pixel for hiding message bit. In this paper it is implemented and analyzed for both, color and grayscale, images. For analysis and critical review, well known image quality measures, security analysis and some steganalysis method are used. The focal motivation of this paper is to provide in depth analysis of the selected method and test it with important measures for evaluating the distortion, performance, robustness and security.

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Section: Resultsmentioning

confidence: 99%

Experimental Review of Steganography Method that uses 5th, 6th and 7th Bit of a Pixel

Rashid¹,

Rahim²

2015

IJCA

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“…Similarity measurement can be used to distinguish the defective and defect-free regions [14] in a patterned texture. The algorithm used for defect detection in this paper is the similarity measurement of a statistical histogram of periodic units.…”

Section: Classification Of the Periodic Units Based On Similarity Meamentioning

confidence: 99%

A Method for Defect Detection of Yarn-Dyed Fabric Based on Frequency Domain Filtering and Similarity Measurement

Zhang

Tang

2019

Autex Research Journal

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The detection of defects in yarn-dyed fabric is one of the most difficult problems among the present fabric defect detection methods. The difficulty lies in how to properly separate patterns, textures, and defects in the yarn-dyed fabric. In this paper, a novel automatic detection algorithm is presented based on frequency domain filtering and similarity measurement. First, the separation of the pattern and yarn texture structure of the fabric is achieved by frequency domain filtering technology. Subsequently, segmentation of the periodic units of the pattern is achieved by using distance matching function to measure the fabric pattern. Finally, based on the similarity measurement technology, the pattern’s periodic unit is classified, and thus, automatic detection of the defects in the yarn-dyed fabric is accomplished.

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“…For complete analysis of the proposed scheme different parameters are used, which are divided into following categories [9,27] …”

Section: A Performance Metricsmentioning

confidence: 99%

An Improved Hybrid Mechanism for Secure Data Communication

Dhall¹,

Bhushan²,

Gupta³

2016

IJCNIS

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Abstract-TheIn today"s era with increase in the use of internet and networking devices, there is an increase in demand for more secure data communication. This problem has led to development of hybrid security mechanisms. Various techniques are available in literature that makes use of different steganography and cryptographic mechanisms which has certain pros and cons. In this paper, we propose a new hybrid security mechanism that tries to choose the best cryptographic and steganography mechanism. In addition, to increase the embedding capacity of the proposed mechanism, Huffman encoding scheme is used. The proposed strategy is implemented in MATLAB-09. In order to check the efficacy of the proposed technique three types of analysis were performed named as: security, robustness and efficiency analysis. It is found from the simulation and results that the proposed scheme outperforms other techniques in literature in every aspect.

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Similarity measures for automatic defect detection on patterned textures

Cited by 12 publications

References 17 publications

Experimental Review of Steganography Method that uses 5th, 6th and 7th Bit of a Pixel

Experimental Review of Steganography Method that uses 5th, 6th and 7th Bit of a Pixel

A Method for Defect Detection of Yarn-Dyed Fabric Based on Frequency Domain Filtering and Similarity Measurement

An Improved Hybrid Mechanism for Secure Data Communication

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