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    • 1. 发明授权
    • Barcode detection based on morphological operations
    • 基于形态运算的条形码检测
    • US08366004B2
    • 2013-02-05
    • US12035653
    • 2008-02-22
    • Hsiang-Tsun LiJingqiang LiHau HwangXiaoyun JiangJoseph Cheung
    • Hsiang-Tsun LiJingqiang LiHau HwangXiaoyun JiangJoseph Cheung
    • G06K5/04
    • G06K7/10G06K7/1443G06K7/1452
    • This disclosure describes techniques for detecting a barcode within an image. An image processor may, for example, process an image to detect regions within the image that may be barcodes. The image processor may identify regions of the image that exhibit a high concentration of edges and a high concentration of pixels with low optical intensity co-instantaneously as potential barcodes. The image processor may identify the regions using a number of morphological operations. The image processor may then determine whether the identified regions are actually barcodes by verifying whether the region have unique barcode features. The barcode detection techniques described in this disclosure may be independent of barcode size, location and orientation within the image. Moreover, the use of morphological operations results in faster and more computationally efficient barcode detection, as well as lower computational complexity.
    • 本公开描述了用于检测图像内的条形码的技术。 图像处理器可以例如处理图像以检测图像内可能是条形码的区域。 图像处理器可以识别呈现高浓度边缘的图像区域和具有低光强度的高浓度像素作为潜在条形码。 图像处理器可以使用多个形态操作来识别区域。 然后,图像处理器可以通过验证该区域是否具有独特的条形码特征来确定所识别的区域是否实际上是条形码。 本公开中描述的条形码检测技术可以独立于图像内的条形码尺寸,位置和取向。 此外,使用形态学运算导致更快和更有计算效率的条形码检测,以及较低的计算复杂度。