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Method and apparatus for classifying Image based on the Image Feature

机译:基于图像特征的图像分类方法及装置

摘要

An apparatus and a method for classifying images are provided to make it possible to classify input images into business graphic images and photographic images more accurately. A color space transformation unit(105) transforms each of input images into a color space composed of lightness and saturation components. A lightness analysis unit(110) calculates a lightness frequency distribution of the light components. A saturation analysis unit(120) calculates an average of the saturation components. An image classification unit(130) compares an estimation function, which is obtained by using the calculated lightness frequency distribution and the average of the saturation components, with a threshold value to classify each of the input images. An image classification unit(140) calculates an evaluation function which uses a calculated brightness frequency distribution and the distribution of chroma component average and frequency.
机译:提供一种用于对图像进行分类的装置和方法,以使得可以将输入图像更准确地分类为商业图形图像和摄影图像。色彩空间变换单元(105)将每个输入图像变换成由亮度和饱和度分量组成的色彩空间。亮度分析单元(110)计算光分量的亮度频率分布。饱和度分析单元(120)计算饱和度分量的平均值。图像分类单元(130)将通过使用计算出的明度频率分布和饱和度分量的平均值而获得的估计函数与阈值进行比较,以对每个输入图像进行分类。图像分类单元(140)计算评估函数,该评估函数使用计算出的亮度频率分布以及色度分量平均值和频率的分布。

著录项

  • 公开/公告号KR100886339B1

    专利类型

  • 公开/公告日2009-03-03

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20070002595

  • 申请日2007-01-09

  • 分类号H04N9/64;

  • 国家 KR

  • 入库时间 2022-08-21 19:12:09

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