Patent
Image processing device, image processing method, and computer-readable recording device
Yamato Kanda,Makoto Kitamura,Takehiro Matsuda,Takashi Kono,Masashi Hirota +4 more
- 30 Aug 2012
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TL;DR: In this paper, an image processing device includes: a feature data calculator configured to calculate the feature data of each pixel in an image; an approximate shape calculator, which calculates a shape approximating a profile of a distribution area in which the feature space is distributed in a feature space having the feature dataset as an element; and an abnormal area detector configured to detect an abnormal region in the image based on the approximate shape and the profile of the distribution area.
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Abstract: An image processing device includes: a feature data calculator configured to calculate the feature data of each pixel in an image; an approximate shape calculator configured to calculate an approximate shape approximating a profile of a distribution area in which the feature data is distributed in a feature space having the feature data as an element; and an abnormal area detector configured to detect an abnormal area in the image based on the approximate shape and the profile of the distribution area.
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Citations
Patent
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TL;DR: In this article, a system and methods for controlling output of content based on human recognition data captured by one or more sensors of an electronic device are provided, where the control of the output of particular content may be based on an action of a rule defined for the particular content, and may be performed when at least one human feature detection related condition of the rule is satisfied.
86
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- 28 May 2014
TL;DR: In this article, a residue candidate distribution determination unit is configured to determine, from among the color feature data, color feature distributions on a side comparatively strong in redness to be a mucosa distribution, and a residue distribution determination mechanism is configured for determining residue candidate distributions with reference to the residue distribution.
61
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- 22 May 2014
TL;DR: In this paper, a motion estimation encoder is used to extract motion information present in the encoded video, which is then used to determine a depth of visual scene, such as by using binocular disparity between two or more images by an adaptive controller in order to detect one or more objects salient to a given task.
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TL;DR: In this article, an optical object detection apparatus consisting of a fixed-focal length wide aperture lens and an image sensor is used to detect objects in a depth of field image.
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TL;DR: In this article, a motion estimation encoder is used to extract motion information present in the encoded video, which can be used to determine a depth of visual scene, such as by using binocular disparity between two or more images by an adaptive controller in order to detect one or more objects salient to a given task.
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