Locating code image zones in an image of a code bearing object
AssigneeSick AG
InventorsPascal SCHÜLER, Christofer ROSER, Thorsten FALK, Sascha BURGHARDT, Romain MÜLLER
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Abstract
A method of locating code image zones in an output image of a code bearing object (14), wherein first candidates for code image zones are determined in a first segmentation process using a process of classical image processing without machine learning and second candidates for code image zones are determined in a second segmentation process using machine learning, with the first and second candidates being fused to locate the code image zones.
Claims23
A computer implemented method of locating code image zones in an output image of a code bearing object, wherein first candidates for code image zones are determined in a first segmentation process using a process of classical image processing without machine learning, wherein second candidates for code image zones are determined in a second segmentation process using machine learning:
- and wherein the first and second candidates are fused to locate the code image zones.
An optoelectronic code reader having at least one light receiver element for generating image data from received light and having a control and evaluation unit in which a method of locating code image zones in an output image of a code bearing object is implemented, in which first candidates for code image zones are determined in a first segmentation process using a process of classical image processing without machine learning,
- wherein, in the method implemented in the control and evaluation unit, second candidates for code image zones are determined in a second segmentation process using machine learning;
- and the first and second candidates are fused to locate the code image zones.
Dependencies are inferred from the claim text.