OtsuTo solve the shortcomings of the Otsu image segmentation algorithm based on traditional Moth–Flame Optimization (MFO), such as its poor segmentation accuracy, slow convergence, and tendency to fall into lo
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To overcome the shortcomings of 1D and 2D Otsu’s thresholding techniques, the 3D Otsu method has been developed. Among all Otsu’s methods, 3D Otsu technique provides the best threshold values for the multi-level thresholding processes. In this paper, to improve the quality of segmented images...
this study presents an up-to-date survey on the employment of superpixel image in combined with clustering techniques for the various image segmentation. The contribution of the survey has four parts namely (i) overview of superpixel image generation techniques, (ii) clustering techniques especially ...
Therefore, Srivastava and Khare (Srivastava & Khare, Citation2017) developed a novel multi-resolution analysis algorithm that analyzes images at multiple levels, with other levels capturing information that one level skipped. This approach is based on the extraction of texture and shape features by ...
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can also produce images containing residual artifacts121. It is important to report in publications which algorithm has been used to mitigate projection artifacts, whether residual artifacts remain and, if so, how they impact on the assessment of the results. We advocate the use of the artifact ...
270 presents the technical details of the algorithm proposed by Ref. 269 and applies it to neutron and X-ray tomographies of concrete (those shown in Fig. 11). This yields a registered neutron image that matches the X-ray image with sub-pixel accuracy (within 0.05 pixels displacement 0....