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The patch growing algorithm starts from the region of the object center, and continues with their adjacent regions sorted by their proximity to the object ...
Patch Growing: Object segmentation using spatial coherence of local patches. Authors. Marc Masias, Albert Torrent, Xavier Lladó, Jordi Freixenet. Pages. 65 - 73.
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional ...
A novel approach for object segmentation based on the following two steps: oversegment the image in homogeneous regions using a Region Growing algorithm ...
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional ...
Marc Masias, Albert Torrent , Xavier Lladó , Jordi Freixenet : Patch Growing: Object segmentation using spatial coherence of local patches. CCIA 2009: 65-73.
Cufi; Patch growing: object segmentation using spatial coherence of local patches / M. Masias [and others]; A first approach to activity recognition using ...
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This paper presents an automatic lesion segmentation method based on similarities between multichannel patches. A patch database is built using training ...
Missing: Growing: | Show results with:Growing:
Patch Growing: Object segmentation using spatial coherence of local patches. ... using prior knowledge from annotated images: local patches and spatial coherency.
... Patch Growing: Object Segmentation Using Spatial Coherence of Local Patches -- A First Approach to Activity Recognition Using Topic Models -- Coordination ...