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Method for detecting existence of dust spots in digital images based on locally adaptive thresholding

机译:基于局部自适应阈值的数字图像中尘点的检测方法

摘要

A method for detecting a dust spot (16) in a digital image (10) includes the steps of determining (226) an expected dust spot configuration (344) of the dust spot (16) in the image (10); applying (228) a statistic order filter to a value channel of an HSV color space of the image to generate a filtered value for each pixel being evaluated (349), the filtered value being based upon the expected dust spot configuration (344); and comparing (230) the filtered value to an actual color space value of a plurality of pixels (348) in the digital image (10) to generate (232) a binary image (350). In one embodiment, the method can also include the step of comparing (234) the binary image (350) to the expected dust spot configuration (344) to determine a probability of the presence of the dust spot (16) in the digital image (10).
机译:一种检测数字图像( 10 )中灰尘点( 16 )的方法,包括确定( 226 )预期灰尘点的步骤。图像( 10 )中灰尘点( 16 )的配置( 344 );将( 228 )统计顺序滤镜应用于图像的HSV色彩空间的值通道,以为每个要评估的像素( 349 )生成滤镜值,该值基于预期的尘埃点配置( 344 );并将滤波后的值与数字图像( 10 )中多个像素( 348 )的实际色彩空间值进行比较( 230 )生成( 232 )二进制图像( 350 )。在一个实施例中,该方法还可以包括以下步骤:将二进制图像( 350 )与预期的尘斑配置( 344 )进行比较( 234 )。 >)来确定数字图像( 10 )中出现灰尘点( 16 )的可能性。

著录项

  • 公开/公告号US9235882B2

    专利类型

  • 公开/公告日2016-01-12

    原文格式PDF

  • 申请/专利权人 RADKA TEZAUR;

    申请/专利号US201114118659

  • 发明设计人 RADKA TEZAUR;

    申请日2011-08-16

  • 分类号H04N5/217;G06T7/00;G06T5/00;G06T7/40;

  • 国家 US

  • 入库时间 2022-08-21 14:31:13

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