Image processing apparatus and method
    3.
    发明授权
    Image processing apparatus and method 有权
    图像处理装置及方法

    公开(公告)号:US08456619B2

    公开(公告)日:2013-06-04

    申请号:US12796185

    申请日:2010-06-08

    IPC分类号: G01C3/08

    摘要: Subject-distance information is acquired by a light-weight, small-size arrangement without a significant change in the structure of a conventional image processing apparatus. The apparatus acquires diffraction images obtained by sensing the image of a subject, using an image sensing unit, obtained via a diffraction grating and imaging optical system, detects a real image from luminance gradients of the diffraction images, calculates the distance between the detected real image and a virtual image corresponding to this real image in the diffraction images, and calculates the depth distance between the subject and the diffraction grating using the distance calculated by first calculating unit.

    摘要翻译: 主体距离信息是通过轻量的小尺寸排列而获得的,而传统图像处理装置的结构没有显着变化。 该装置获取通过使用通过衍射光栅和成像光学系统获得的图像感测单元感测被摄体的图像获得的衍射图像,从衍射图像的亮度梯度检测实像,计算检测到的真实图像之间的距离 以及与衍射图像中的该真实图像对应的虚像,并使用由第一计算单元计算的距离来计算被摄体与衍射光栅之间的深度距离。

    IMAGE PROCESSING APPARATUS AND METHOD
    4.
    发明申请
    IMAGE PROCESSING APPARATUS AND METHOD 有权
    图像处理装置和方法

    公开(公告)号:US20100322481A1

    公开(公告)日:2010-12-23

    申请号:US12796185

    申请日:2010-06-08

    IPC分类号: G06K9/00

    摘要: Subject-distance information is acquired by a light-weight, small-size arrangement without a significant change in the structure of a conventional image processing apparatus. The apparatus acquires diffraction images obtained by sensing the image of a subject, using an image sensing unit, obtained via a diffraction grating and imaging optical system, detects a real image from luminance gradients of the diffraction images, calculates the distance between the detected real image and a virtual image corresponding to this real image in the diffraction images, and calculates the depth distance between the subject and the diffraction grating using the distance calculated by first calculating unit.

    摘要翻译: 主体距离信息是通过轻量的小尺寸排列而获得的,而传统图像处理装置的结构没有显着变化。 该装置获取通过使用通过衍射光栅和成像光学系统获得的图像感测单元感测被摄体的图像获得的衍射图像,从衍射图像的亮度梯度检测实像,计算检测到的真实图像之间的距离 以及与衍射图像中的该真实图像对应的虚像,并使用由第一计算单元计算的距离来计算被摄体与衍射光栅之间的深度距离。

    Image processing apparatus, image processing method, and program
    5.
    发明授权
    Image processing apparatus, image processing method, and program 有权
    图像处理装置,图像处理方法和程序

    公开(公告)号:US08891879B2

    公开(公告)日:2014-11-18

    申请号:US12857804

    申请日:2010-08-17

    IPC分类号: G06K9/48 G06T7/00

    摘要: An image processing apparatus for extracting a contour of an object which extracts boundary candidate points from the image and sets reference areas each having one of boundary candidate points as a center and includes small areas. A first reference area is set from the reference areas and a first small area is set from small areas included in the first reference area. From reference areas, a second reference area is set, whose feature is similar to that of the first reference area and as a second small area, a small area is set which has a feature amount similar to that of the first small area among small areas included in the second reference area. The boundary candidate points is tracked to extract the contour of the object based on the first reference area, the second reference area, the first small area, and the second small area.

    摘要翻译: 一种图像处理装置,用于提取从图像中提取边界候选点的对象的轮廓,并且将具有边界候选点之一作为中心的参考区域设置为小的区域。 从参考区域设置第一参考区域,并且从包括在第一参考区域中的小区域设置第一小区域。 从参考区域设置第二参考区域,其特征与第一参考区域的特征相似,并且作为第二小区域,设置小区域,其具有与小区域中的第一小区域的特征量相似的特征量 包括在第二个参考区域。 跟踪边界候选点,以基于第一参考区域,第二参考区域,第一小区域和第二小区域提取对象的轮廓。

    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM
    6.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM 有权
    图像处理设备,图像处理方法和程序

    公开(公告)号:US20110052071A1

    公开(公告)日:2011-03-03

    申请号:US12857804

    申请日:2010-08-17

    IPC分类号: G06K9/46

    摘要: An image processing apparatus for extracting a contour of an object which extracts boundary candidate points from the image and sets reference areas each having one of boundary candidate points as a center and includes small areas. A first reference area is set from the reference areas and a first small area is set from small areas included in the first reference area. From reference areas, a second reference area is set, whose feature is similar to that of the first reference area and as a second small area, a small area is set which has a feature amount similar to that of the first small area among small areas included in the second reference area. The boundary candidate points is tracked to extract the contour of the object based on the first reference area, the second reference area, the first small area, and the second small area.

    摘要翻译: 一种图像处理装置,用于提取从图像中提取边界候选点的对象的轮廓,并且将具有边界候选点之一作为中心的参考区域设置为小的区域。 从参考区域设置第一参考区域,并且从包括在第一参考区域中的小区域设置第一小区域。 从参考区域设置第二参考区域,其特征与第一参考区域的特征相似,并且作为第二小区域,设置小区域,其具有与小区域中的第一小区域的特征量相似的特征量 包括在第二个参考区域。 跟踪边界候选点,以基于第一参考区域,第二参考区域,第一小区域和第二小区域提取对象的轮廓。

    Solid oxide fuel cell, cell stack device, fuel cell module, and fuel cell device
    7.
    发明授权
    Solid oxide fuel cell, cell stack device, fuel cell module, and fuel cell device 有权
    固体氧化物燃料电池,电池堆装置,燃料电池组件和燃料电池装置

    公开(公告)号:US09583777B2

    公开(公告)日:2017-02-28

    申请号:US14241870

    申请日:2012-08-31

    摘要: A solid oxide fuel cell, a cell stack device, a fuel cell module and a fuel cell device are disclosed. The solid oxide fuel cell includes a solid electrolyte layer, fuel electrode layer and an oxygen electrode layer. The solid electrolyte layer has gas blocking properties and includes first and second main surfaces opposite to each other. The fuel electrode layer is disposed on the first main surface while the oxygen electrode layer is disposed on the second main surface of the solid electrolyte layer. A thickness of the solid electrolyte layer is 40 μm or less. Porosity of the solid electrolyte layer in an arbitrary cross section thereof is 3 to 15% by area. An average pore diameter of pores in the solid electrolyte layer is 2 μm or less.

    摘要翻译: 公开了一种固体氧化物燃料电池,电池组装置,燃料电池组件和燃料电池装置。 固体氧化物型燃料电池包括固体电解质层,燃料电极层和氧电极层。 固体电解质层具有阻气性,并且包括彼此相对的第一和第二主表面。 燃料电极层设置在第一主表面上,而氧电极层设置在固体电解质层的第二主表面上。 固体电解质层的厚度为40μm以下。 固体电解质层的任意截面的孔隙率为3〜15%。 固体电解质层中的孔的平均孔径为2μm以下。