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    • 68. 发明公开
    • Image segmentation system and method
    • 图像分割系统和方法
    • EP1320069A2
    • 2003-06-18
    • EP02027097.1
    • 2002-12-04
    • EATON CORPORATION
    • Farmer, Michael Edward
    • G06T5/00
    • B60R21/01542B60R21/01538B60R21/01552B60R21/01556B60R2021/0044G06K9/00362G06K9/626G06Q40/04G06T7/11G06T7/136G06T7/155G06T7/215G06T7/254G06T7/277G06T7/70G06T2207/10016G06T2207/10048G06T2207/30268
    • The present invention relates in general to systems used to process images. In particular, the present invention is an image segmentation system (16) and method used to isolate the segmented image (31) of a target person, animal, or object from an ambient image (38) which includes the target person, animal, or object, in addition to the area (21) surrounding the target. The invention supports the ability of an airbag deployment system to distinguish between different types of occupants (18) by providing such deployment systems with a segmented image of the occupant. The invention is particularly useful at night or in other environments involving inadequate light or undesirable shadows. The invention can use histograms (39) and cumulative distribution functions (52) to perform image thresholding. Morphological erosion and dilation can be used to eliminate optical "noise" from the image. Gap filling is performed on the basis of the "momentum" and "gravity" of regions of similar pixel values. An upper ellipse (80) can generated to represent the upper torso of the occupant (18). The invention is highly flexible, and can be modified in accordance with the desired use.
    • 本发明一般涉及用于处理图像的系统。 特别地,本发明是一种图像分割系统(16)和用于将目标人,动物或物体的分割图像(31)与环境图像(38)隔离的方法,环境图像(38)包括目标人,动物或 物体,除了围绕目标的区域(21)。 本发明通过为这种展开系统提供乘员的分段图像来支持气囊展开系统区分不同类型的乘员(18)的能力。 本发明在夜晚或其他涉及光线不足或不希望的阴影的环境中特别有用。 本发明可以使用直方图(39)和累积分布函数(52)来执行图像阈值处理。 形态学侵蚀和膨胀可用于消除图像中的光学“噪音”。 根据相似像素值区域的“动量”和“重力”执行间隙填充。 可产生上椭圆(80)以表示乘员(18)的上部躯干。 本发明高度灵活,并且可以根据所需用途进行修改。