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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。
    • 2. 发明申请
    • IMAGE CAPTURE DEVICE WITH INTEGRATED BARCODE SCANNING
    • 具有集成条形码扫描的图像捕获设备
    • US20090212113A1
    • 2009-08-27
    • US12035644
    • 2008-02-22
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • G06K7/10
    • G06K7/14G06K7/1417G06K7/1443G06K7/1447G07G1/0045
    • This disclosure describes barcode scanning techniques for an image capture device. The image capture device may automatically detect a barcode within an image while the image capture device is operating in a non-barcode image capture mode, such a default image capture mode. In one aspect, the detection of the barcode within the image may be based on a combination of identified edges and low intensity regions within the image. The image capture device may configure, based on the detection of the barcode, one or more image capture properties associated with the image capture device to improve a quality at which the images are captured. The image capture device captures the image in accordance with the configured image capture properties. The techniques may effectively provide a universal and integrated front-end for producing improved quality images of barcodes without requiring significant interaction with a user via a complicated user interface.
    • 本公开描述了用于图像捕获设备的条形码扫描技术。 当图像捕获装置以非条形码图像捕获模式操作时,图像捕获装置可以自动检测图像内的条形码,这种默认图像拍摄模式。 在一个方面,图像内的条形码的检测可以基于图像内的识别边缘和低强度区域的组合。 图像捕获装置可以基于条形码的检测来配置与图像捕获装置相关联的一个或多个图像拍摄属性,以提高拍摄图像的质量。 图像捕获设备根据配置的图像捕获属性捕获图像。 这些技术可以有效地提供通用和集成的前端,用于产生条形码的改进的质量图像,而不需要通过复杂的用户界面与用户进行显着的交互。
    • 3. 发明授权
    • Image capture device with integrated barcode scanning
    • 具有集成条码扫描功能的图像捕捉设备
    • US08596541B2
    • 2013-12-03
    • US12035644
    • 2008-02-22
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • G06K7/10
    • G06K7/14G06K7/1417G06K7/1443G06K7/1447G07G1/0045
    • This disclosure describes barcode scanning techniques for an image capture device. The image capture device may automatically detect a barcode within an image while the image capture device is operating in a non-barcode image capture mode, such a default image capture mode. In one aspect, the detection of the barcode within the image may be based on a combination of identified edges and low intensity regions within the image. The image capture device may configure, based on the detection of the barcode, one or more image capture properties associated with the image capture device to improve a quality at which the images are captured. The image capture device captures the image in accordance with the configured image capture properties. The techniques may effectively provide a universal and integrated front-end for producing improved quality images of barcodes without requiring significant interaction with a user via a complicated user interface.
    • 本公开描述了用于图像捕获设备的条形码扫描技术。 当图像捕获装置以非条形码图像捕获模式操作时,图像捕获装置可以自动检测图像内的条形码,这种默认图像拍摄模式。 在一个方面,图像内的条形码的检测可以基于图像内的识别边缘和低强度区域的组合。 图像捕获装置可以基于条形码的检测来配置与图像捕获装置相关联的一个或多个图像拍摄属性,以提高拍摄图像的质量。 图像捕获设备根据配置的图像捕获属性捕获图像。 这些技术可以有效地提供通用和集成的前端,用于产生条形码的改进的质量图像,而不需要通过复杂的用户界面与用户进行显着的交互。
    • 4. 发明申请
    • BARCODE DETECTION BASED ON MORPHOLOGICAL OPERATIONS
    • 基于形态学运算的条形码检测
    • US20090212112A1
    • 2009-08-27
    • US12035653
    • 2008-02-22
    • Hsiang-Tsun LiJingqiang LiHau HwangXiaoyun JiangJoseph Cheung
    • Hsiang-Tsun LiJingqiang LiHau HwangXiaoyun JiangJoseph Cheung
    • G06K7/10
    • 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。
    • 7. 发明授权
    • Shared block comparison architechture for image registration and video coding
    • 共享块比较建筑图像注册和视频编码
    • US08098957B2
    • 2012-01-17
    • US12030820
    • 2008-02-13
    • Hau HwangHsiang-Tsun LiKalin Atanassov
    • Hau HwangHsiang-Tsun LiKalin Atanassov
    • G06K9/32G06K9/46H04N7/12
    • H04N5/23248G06T7/30G06T2207/10016G06T2207/20021H04N5/23277H04N5/2355H04N5/2357H04N19/43H04N19/51H04N19/537H04N19/85
    • This disclosure describes an efficient architecture for an imaging device that supports image registration for still images and video coding of a video sequence. For image registration, the described architecture uses block-based comparisons of image blocks of a captured image relative to blocks of another reference image to support image registration on a block-by-block basis. For video coding, the described architecture uses block-based comparisons, e.g., to support for motion estimation and motion compensation. According to this disclosure, a common block comparison engine is used on a shared basis for both block-based image registration and block-based video coding. In this way, a hardware unit designed for block-based comparisons may be implemented so as to work in both the image registration process for still images and the video coding process for coding a video sequence.
    • 本公开描述了一种用于成像设备的有效架构,其支持用于静止图像的图像注册和视频序列的视频编码。 对于图像注册,所描述的架构使用与相对于另一参考图像的块相关的捕获图像的图像块的基于块的比较,以在逐块的基础上支持图像注册。 对于视频编码,所描述的架构使用基于块的比较,例如支持运动估计和运动补偿。 根据本公开,公共块比较引擎在基于块的图像配准和基于块的视频编码的共享的基础上被使用。 以这种方式,可以实现设计用于基于块的比较的硬件单元,以便在静止图像的图像注册处理和用于编码视频序列的视频编码处理两者中工作。