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This paper proposes a multi-scale segmentation approach for high resolution remote sensing image (HRRSI) based on the gravitational field and region merging. In this approach, the HRRSI is firstly transformed into a gravitational field by incorporating the spatial and spectral information. Based on which, the attraction among neighboring pixels will cause travelling of each pixel. During the travelling,...
The research of object localization is active in the field of visual object category. In this paper, we focus on object localization in a given special category dataset. We propose to exploit the context aware category discovery for object localization without any labeled examples. Firstly, the image is segmented based on a multiple segmentation algorithm. Secondly, these generated regions are clustered...
MRI medical image segmentation is one of important problem in medical image processing. It is more challenging compared to other image processing problems due to the large variability in shapes, complexity of medical structures. In the paper, a new segmentation approach of magnetic resonance brain tissues image based on support vector machines (SVM) and level set method is presented. Firstly, reduced...
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