An improved version of Otsu's method for segmentation of weld defects on X-radiography images

Malarvel, Muthukumaran; Sethumadhavan, Gopalakrishnan; Bhagi, Purna Chandra Rao; Kar, Soumitra; Thangavel, Saravanan

doi:10.1016/j.ijleo.2017.05.066

Cited by 62 publications

(24 citation statements)

References 19 publications

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“…The image ( , ) f x y can be expressed as the product of the incident and the reflected component. (18) where the object reflection component ( , ) r x y reflects the image high-frequency detail information and the incident component ( , ) l x y represents change slowly low-frequency part in image.…”

Section: Multiscale Retinex Color Restoration Algorithmmentioning

confidence: 99%

“…In response to the mentioned problems, some scholars have proposed some improved OTSU algorithms. Malarvel et al [18] offered an improved OTSU method for segmentation of weld defects on radiography images. Although the threshold value always lies at the left bottom side of the unimodal distribution, it is only suitable for images with a dull and large proportion background.…”

Section: Introductionmentioning

confidence: 99%

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An Improved OTSU Algorithm Using Histogram Accumulation Moment for Ore Segmentation

Zhan

Zhang

2019

Symmetry

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When using image processing technology to analyze mineral particle size in complex scenes, it is difficult to separate the objects from the background with traditional algorithms. This paper proposes an ore image segmentation algorithm based on a histogram accumulation moment, which is applied to multi-scenario ore object location and recognition. Firstly, the multi-scale Retinex color restoration algorithm is used to improve the contrast in the dark region and eliminates the shadows generated by the stacked adhesion ores. Then, the zero-order and first-order cumulative moments close to the selected gray level are calculated, reducing the error caused by noise. Finally, the selected gray level gradually approaches the optimal threshold to avoid falling into local optimum. It can segment mineral images with unimodal or insignificant bimodal characteristic histogram effectively and accurately. Ore images in three different scenarios are used to verify the accuracy and effectiveness of the proposed method. The experimental results demonstrate that the proposed algorithm provides better segmentation results than other methods.

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Section: Multiscale Retinex Color Restoration Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved OTSU Algorithm Using Histogram Accumulation Moment for Ore Segmentation

Zhan

Zhang

2019

Symmetry

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“…Figure 11(a,c) represents the plot of σ 2 B value with corresponding gray-level value. Figure 11(d,f) represents the histogram of an image with corresponding threshold value adapted by various CD methods (Muthukumaran, Gopalakrishnan, Purna, Soumitra, & Saravanan, 2017) and shows effective class distribution and automatic thresholding of the proposed method.…”

Section: Class Distribution By Otsu Thresholding Algorithmmentioning

confidence: 99%

Laplacian pyramid-based change detection in multitemporal SAR images

Geetha

Kalaivani

2019

European Journal of Remote Sensing

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The Synthetic Aperture Radar (SAR) has many attractive and desired features to cope with uncertain weather conditions and also provides superlative resolution in images. In this paper, a unique multiscale approach of change detection (CD) that integrates the preprocessing and CD technique of SAR imagery is discussed. Condensed anisotropic diffusion method is employed as a preprocessing tool for despeckling, and the resultant image is processed by multiscale approach in the Laplacian pyramid (LP) domain. In each layer of LP, the difference between the pyramid coefficient of two images of the same area obtained at different periods is estimated through log ratio operation. Each layer of pyramid coefficient has explicit features at particular scale. Fine scale related to a band pass layer localizes edges of the change area and the coarse scale related to a low pass layer preserves more detail information of the change region. Reconstruction of LP provides exact difference image with perfect boundary. Otsu's algorithm is used to generate binary change map to distinguish changed and unchanged pixels. The efficiency of the proposed method is tested by using simulated and real SAR image datasets. The confusion matrix parameters are used to prove competence of the proposed CD method.

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“…Threshold segmentation, a classical image segmentation method, has the advantages of low computational cost and fast speed, and is widely used in the field of industrial X-ray examination [4,5,[11][12][13][14]. A wheel is complex in geometry, the gray scale of its X-ray image varies widely, and a defect only accounts for a small part of the whole image, therefore accurately extracting defects by the traditional threshold segmentation is quite difficult.…”

Section: Introductionmentioning

confidence: 99%

Defect Detection of Aluminum Alloy Wheels in Radiography Images Using Adaptive Threshold and Morphological Reconstruction

et al. 2018

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In low-pressure casting, aluminum alloy wheels are prone to internal defects such as gas holes and shrinkage cavities, which call for X-ray inspection to ensure quality. Automatic defect segmentation of X-ray images is an important task in X-ray inspection of wheels. For this, a solution is proposed here that combines adaptive threshold segmentation algorithm and mathematical morphology reconstruction. First, the X-ray image of the wheel is smoothed, and then the smoothed image is subtracted from the original image, and the resulting difference image is binarized; the binary image resulting from the low threshold is taken as the marker image, and that from the high threshold is taken as mask image, and mathematical morphology reconstruction is performed on the two images, with the resulting image being the preliminary result of the wheel defect segmentation. Finally, with area and diameter parameters as the conditions, the preliminary segmentation result is analyzed, and the defect regions satisfying the conditions are taken as the ultimate result of the whole solution. Experiments proved the feasibility of the above solution, which is found capable of extracting different types of wheel defects satisfactorily.

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An improved version of Otsu's method for segmentation of weld defects on X-radiography images

Cited by 62 publications

References 19 publications

An Improved OTSU Algorithm Using Histogram Accumulation Moment for Ore Segmentation

An Improved OTSU Algorithm Using Histogram Accumulation Moment for Ore Segmentation

Laplacian pyramid-based change detection in multitemporal SAR images

Defect Detection of Aluminum Alloy Wheels in Radiography Images Using Adaptive Threshold and Morphological Reconstruction

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