Power meter automatic distinguishing method for image

Power meter automatic distinguishing method for image

  • CN 102,236,788 B
  • Filed: 04/20/2010
  • Issued: 09/02/2015
  • Est. Priority Date: 04/20/2010
  • Status: Active Grant
First Claim
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1. power meter automatic distinguishing method for image, is characterized in that comprising the following steps:

  • Step one Image semantic classification, adopts sobel operator to detect the vertical texture of dial plate image, then adopts expansion algorithm to extract vertical texture region, and adopts sciagraphy tentatively to remove background area;

    The adaptive threshold fuzziness method based on integral projection method is finally adopted to carry out binary conversion treatment to image;

    The location of step 2 indicating value and bar code;

    (1), the location of indicating value, vertical edge based on sobel operator detects and Morphological scale-space, combine the determination methods based on the spacing of indicating value character and the aspect ratio features of indicating value character under power meter image background, realization can adapt to the indicating value location of dissimilar power meter, simultaneously, be different from the method for single complete character location, when indicating value is in half character mode, can judge whether the indicating value character position of this indicating value has upper and lower two incomplete half characters, and according to the proportionate relationship of half character up and down, the many half character reading of selected characteristic information is as the reading of the indicating value character position at half character place,(2), Bar code positioning, according to the vertical texture in bar code region, projective iteration method basis has been merged the edge feature in bar code region, horizontal scanning is carried out to the region that may be bar code, extract the region meeting bar code feature, and judge barcode types according to the coding method of power meter bar code;

    Step 3 bar-code identification, first adopts the method for lining by line scan to calculate the width of a bar code continuous strip sky, then adopts normalization theoretical, identifies for the similar back gauge method for normalizing of dissimilar bar code to bar code;

    The identification of step 4 indicating value, indicating value identification adopts the digit recognition method of Based PC A algorithm, use PCA algorithm to extract the pivot of the immanent structure of indicating value, the structural information of indicating value can tentatively be described, if have new image needs and original image ratio comparatively, just can compare in the pivot dimension of conversion, can according to the reading of the similarity identification indicating value of new image and original image.

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