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Automatic image segmentation using local area maximum and minimum image signals

  • US 5,293,430 A
  • Filed: 01/12/1993
  • Issued: 03/08/1994
  • Est. Priority Date: 06/27/1991
  • Status: Expired due to Fees
First Claim
Patent Images

1. A method of processing image pixels in an electronic document image to determine the presence of halftone images, for optimum image processing thereof preparatory to printing the document, the steps comprising:

  • at an document image data buffer, receiving a document image defined by a plurality of pixels, each pixel a signal representing an optical density of the document at a discrete location therewithin and storing it in said document image data buffer;

    with a comparison circuit operatively connected to said document image data buffer and having as inputs each pixel in a predetermined neighborhood thereof comparing said pixel to a group of neighboring pixels to determine whether it is a local area minimum or maximum and producing a local area minimum or maximum signal indicative thereof;

    with a signal generator circuit responsive to said minimum or maximum signal, generating two image signals, a first image signal representing local area maximums of the image, and a second image signal representing local area minimums of the image;

    with an averaging circuit having as input the image defined by a plurality of pixels, measuring optical density of the image over a block of T pixels with respect to a reference, and producing an average optical density signal indicative of the measured optical density;

    with an auto correlation circuit having as inputs the first and second image signal, and operating on in response to the average optical density signal, auto correlating the first image signal if the average optical density signal is relatively high with respect to the reference, or auto correlating the second image signal if the average optical density signal is relatively low with respect to the reference, the auto correlation function evaluated over the block of T pixels, and for each of a plurality of offset values selected as corresponding to probable halftone frequencies;

    from the auto correlated function, detecting for each offset value for which the auto correlation function was evaluated, whether the result of the evaluation is a zero or non-zero value, the presence of a non-zero value indicating the presence of halftone images at the frequency corresponding to the offset value; and

    with an output signal generator, directing an output signal indicative of the presences of halftone images at the frequency corresponding to the offset value to an image processing control, to control the manner in which image pixels are processed when halftone images are detected.

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