2005
DOI: 10.1007/11540007_166
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Generic Solution for Image Object Recognition Based on Vision Cognition Theory

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Cited by 5 publications
(2 citation statements)
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“…the low level task of determining the precise spatial extent of such structure. The recognition task is better performed by the human eye rather than by any automatic algorithm, due to the capability of the human eye-brain system to integrate previous knowledge about objects during the recognition process (Wu et al, 2005). That is why in medical image segmentation the operator usually performs the recognition of the structure of interest manually, by placing seed points or an initialized dynamic curve in the targeted organ, or by cropping a region of interest (ROI) around it.…”
Section: Introductionmentioning
confidence: 99%
“…the low level task of determining the precise spatial extent of such structure. The recognition task is better performed by the human eye rather than by any automatic algorithm, due to the capability of the human eye-brain system to integrate previous knowledge about objects during the recognition process (Wu et al, 2005). That is why in medical image segmentation the operator usually performs the recognition of the structure of interest manually, by placing seed points or an initialized dynamic curve in the targeted organ, or by cropping a region of interest (ROI) around it.…”
Section: Introductionmentioning
confidence: 99%
“…the low level task of determining the pre-cise spatial extent of such structure. The recognition task is better performed by the human eye rather than by any automatic algorithm, due to the capability of the human eye-brain system to integrate previous knowledge about objects during the recognition process (Wu 2005). That is why in medical image segmentation the operator usually performs the recognition of the structure of interest manually, by placing seed points or an initialized dynamic curve in the targeted organ, or by cropping a region of interest (ROI) around it.…”
Section: -Introductionmentioning
confidence: 99%