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    • 3. 发明授权
    • Reducing the effects of noise in level number transformation
    • 降低噪声在水平数转换中的影响
    • US5621476A
    • 1997-04-15
    • US464367
    • 1995-06-05
    • Takeshi MakitaSusumu SugiuraOsamu Yamada
    • Takeshi MakitaSusumu SugiuraOsamu Yamada
    • G09G1/16G06T5/00G09G5/00H04N1/405H04N5/213H04N5/21
    • H04N1/4052H04N5/213
    • An image processing apparatus prevents an increase in random noise and the like produced by distributing a transformation error, which is produced at the time of a level-number transformation, to unprocessed pixel data. Error data X.sub.n is added to pixel data, which has entered via an input unit, by an adder. Thereafter, the resulting data is subjected to a level-number transformation by a binarizing circuit. Transformation error produced at the time of the level-number transformation is calculated by an error arithmetic unit. The transformation error thus calculated is distributed to unprocessed pixel data by an error-diffusion unit, and the error is accumulated in a line buffer memory as error data. When processing of a prescribed number of lines has ended, a line-number discriminating circuit clears the error data that has been accumulated in the line buffer memory. As a result, an increase in random noise is prevented.
    • 图像处理装置防止通过将在电平数转换时产生的变换误差分配给未处理的像素数据而产生的随机噪声等的增加。 误差数据Xn被加到通过输入单元输入的像素数据中。 此后,通过二值化电路对所得数据进行电平数转换。 在电平数转换时产生的变形误差由误差运算单元计算。 这样计算的变换误差通过误差扩散单元分配给未处理的像素数据,并且该错误被累积在行缓冲存储器中作为错误数据。 当规定数量的线路的处理已经结束时,线路识别电路清除已经积累在行缓冲存储器中的错误数据。 结果,防止了随机噪声的增加。
    • 4. 发明授权
    • Image processing method and apparatus
    • 图像处理方法和装置
    • US5463478A
    • 1995-10-31
    • US243929
    • 1994-05-17
    • Takeshi MakitaSusumu SugiuraOsamu Yamada
    • Takeshi MakitaSusumu SugiuraOsamu Yamada
    • G09G1/16G06T5/00G09G5/00H04N1/405H04N5/213H04N1/409
    • H04N1/4052H04N5/213
    • An image processing apparatus prevents an increase in random noise and the like produced by distributing a transformation error, which is produced at the time of a level-number transformation, to unprocessed pixel data. Error data X.sub.n is added to pixel data, which has entered via an input unit, by an adder. Thereafter, the resulting data is subjected to a level-number transformation by a binarizing circuit. Transformation error produced at the time of the level-number transformation is calculated by an error arithmetic unit. The transformation error thus calculated is distributed to unprocessed pixel data by an error-diffusion unit, and the error is accumulated in a line buffer memory as error data. When processing of a prescribed number of lines has ended, a line-number discriminating circuit clears the error data that has been accumulated in the line buffer memory. As a result, an increase in random noise is prevented.
    • 图像处理装置防止通过将在电平数转换时产生的变换误差分配给未处理的像素数据而产生的随机噪声等的增加。 误差数据Xn被加到通过输入单元输入的像素数据中。 此后,通过二值化电路对所得数据进行电平数转换。 在电平数转换时产生的变形误差由误差运算单元计算。 这样计算的变换误差通过误差扩散单元分配给未处理的像素数据,并且该错误被累积在行缓冲存储器中作为错误数据。 当规定数量的线路的处理已经结束时,线路识别电路清除已经积累在行缓冲存储器中的错误数据。 结果,防止了随机噪声的增加。
    • 6. 发明授权
    • Binarization image processing for multi-level image data
    • 用于多级图像数据的二值化图像处理
    • US5920655A
    • 1999-07-06
    • US597871
    • 1996-02-07
    • Takeshi MakitaOsamu YamadaHiroshi Mori
    • Takeshi MakitaOsamu YamadaHiroshi Mori
    • G06K9/38H04N1/403G06K9/36
    • G06K9/38H04N1/403G06K2209/01
    • An appropriate binarization threshold can be automatically set between the object density and the background density in a multi-level input image, by determining the frequencies of the luminance levels of the entire image, then calculating the average and deviation of the frequencies, then specifying a region containing the optimum threshold for separating the object and the background in the image, by judging the magnitude of the deviation, and taking the average luminance of the specified region as the binarization threshold. Also in processing an image containing objects of three or more luminance levels, highly precise binarization according to the luminance hierarchy allows exact separation of the image regions, enabling precise character recognition process according to the hierarchic luminance levels.
    • 通过确定整个图像的亮度级别的频率,然后计算频率的平均值和偏差,可以在多级输入图像中的对象浓度和背景浓度之间自动设置适当的二值化阈值,然后指定 通过判断偏差的大小,并将指定区域的平均亮度作为二值化阈值,包含用于分离图像中的对象和背景的最佳阈值的区域。 另外,在处理含有三个以上的亮度等级的图像的图像的情况下,根据亮度层次的高精度的二值化,可以精确地分离图像区域,能够根据分级亮度水平进行精确的字符识别处理。