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    • 10. 发明授权
    • Method for recognizing objects in an image pixel plane
    • 用于识别图像像素平面中的对象的方法
    • US06944342B1
    • 2005-09-13
    • US09721457
    • 2000-11-20
    • Christoph StahlThomas FechnerOliver Rockinger
    • Christoph StahlThomas FechnerOliver Rockinger
    • G06K9/62G06K9/68G06K9/36
    • G06K9/6292
    • Image data of optically acquired input images (1) are processed for emphasizing at least two object classes. Each pixel is subjected to a rough classification (10) based on first criteria that determine whether or not a pixel is relevant for an object recognition. A reduced image (11) is formed from the relevant pixels and irrelevant pixels are omitted. The reduced image (11) is filtered (20) for forming at least two correlated filtered images (21, 22, 23) based on second criteria. Classified images (31A, 32A, 33A) are formed from the filtered images by classifiers that work in accordance with predetermined rules. Weighting factors are allocated to each object class. The classified images are merged in accordance with an algorithm to make a combined global evaluation for each object class. The global evaluation decides, based on the merged images (41A, 41B, 41C), for each pixel whether the respective pixel belongs to an object class and if so to which object class.
    • 对光学获取的输入图像(1)的图像数据进行处理以强调至少两个对象类别。 基于确定像素是否与对象识别相关的第一标准,对每个像素进行粗略分类(10)。 从相关像素形成缩小图像(11),省略不相关的像素。 基于第二标准,对缩小图像(11)进行滤波(20)以形成至少两个相关滤波图像(21,22,23)。 分类图像(31A,32A,33A)由根据预定规则工作的分类器的滤波图像形成。 加权因子被分配给每个对象类。 分类图像根据算法合并,以对每个对象类进行组合的全局评估。 全局评估基于合并图像(41A,41B,41C),针对每个像素来确定各个像素是否属于对象类,如果是属于对象类则。