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Scale and segmentation of grey-level images using ...
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由 LD Griffin 著作1992被引用 81 次 — The technique is based upon connecting singular points in the image with maximum gradient paths. We also describe two segmentation methods which use the maximum ...
Scale and segmentation of grey-level images using ...
Springer
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由 LD Griffin 著作1991被引用 15 次 — The technique is based upon connecting singular points in the image with maximum gradient paths. We also describe two segmentation methods which ...
Scale and segmentation of grey-level images using ...
Springer
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由 LD Griffin 著作1991被引用 15 次 — We first detect singular points (maxima , minima and saddle points) and then connect them using maximum gradient paths (MGPs) grown from saddle points (Rosin et ...
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Scale and Segmentation of Grey-Level Images Using Maximum ...
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Segmentation of CT Brain Images Using Unsupervised Clusterings · Segmentation of multimodal MRI of hippocampus using 3d grey-level morphology combined with ...
Scale and segmentation of grey-level images using maximum ...
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This work presents a graph-based approach to the production of hierarchical segmentations of grey- level images using a novel edge measure which combines ...
Scale and segmentation of grey-level images using maximum ...
ACM Digital Library
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由 LD Griffin 著作1992被引用 81 次 — Segmentation of multimodal MRI of hippocampus using 3d grey-level morphology combined with artificial neural networks. SCIA'05: Proceedings of the 14th ...
Scale and Segmentation of Grey-Level Images Using Maximum ...
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The technique is based upon connecting singular points in the image with maximum gradient paths. We also describe two segmentation methods which use the maximum ...
A unified approach to the segmentation of grey-level and dot- ...
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In our grey-level segmentation technique those downhill paths of maximum gradient in the differentiated image which are selected as troughs form the grey ...
Structure-sensitive scale and the hierarchical segmentation of ...
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This work presents a graph-based approach to the production of hierarchical segmentations of grey- level images using a novel edge measure which combines ...