ABSTRACT: Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT ...
Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...
Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to determine the porosity of fibrous materials using a single image taken with ...
This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
Abstract: Level set evolution is an essential method for image segmentation. However, the region-based level set is sensitive to contour initialization, and it is difficult to obtain good results in ...
You might have used your washer for years, only to one day find yourself staring blankly at the buttons, realizing that you don’t actually know what it all means. For instance, tucked somewhere ...
Unsupervised domain adaptation (UDA) aims to adapt a model learned from the source domain to the target domain. Thus, the model can obtain transferable knowledge even in target domain that does not ...
Abstract: Image inpainting is an artistic procedure to recover a damaged painting or picture. In this paper, we propose a novel approach for image inpainting. In this approach, the Mumford-Shah (MS) ...
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