Image processing method and system for extracting distorted circular image elements
First Claim
1. An image processing method for automatically extracting distorted circular image elements from an image, comprising the steps of(a) determining, by means of a circle detection, at least one circular image section as a first approximation of at least one distorted circular image element,(b) determining, via a statistical colour analysis of the at least one determined circular image section, whether the circular image section belongs to one of one or more predefined colour classes and, assigning the circular image section to the respective colour class, and(c) determining an exact shape of the at least one distorted circular element by starting with at least one of the one or more determined circular image sections assigned to one of the one or more colour classes and varying the image section to maximize a value of a colour-class specific function of the image section.
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Abstract
The invention relates to an image processing method for automatically extracting distorted circular image elements (109; 601) from an image (101), comprising the steps of determining, by means of a circle detection (102), at least one circular image section (103; 301, 301′) as a first approximation of at least one distorted circular image element (109; 601), then determining, via a statistical color analysis of the at least one determined circular image section (301, 301′), whether the circular image section (301, 301′) belongs to one of one or more predefined color classes and, in case thereof, assigning the circular image section to the respective color class, and, finally, determining an exact shape (109; 601) of the at least one distorted circular element by starting with at least one of the one or more determined circular image sections assigned to one of the one or more color classes and varying the image section to maximize a value of a color-class specific function of the image section. The invention furthermore relates to an image processing system which is configured for performing the steps according to the image processing method described above, and to a use of the image processing method or of the image processing system for determining ground truth values of a given input data set of images.
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Citations
16 Claims
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1. An image processing method for automatically extracting distorted circular image elements from an image, comprising the steps of
(a) determining, by means of a circle detection, at least one circular image section as a first approximation of at least one distorted circular image element, (b) determining, via a statistical colour analysis of the at least one determined circular image section, whether the circular image section belongs to one of one or more predefined colour classes and, assigning the circular image section to the respective colour class, and (c) determining an exact shape of the at least one distorted circular element by starting with at least one of the one or more determined circular image sections assigned to one of the one or more colour classes and varying the image section to maximize a value of a colour-class specific function of the image section.
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9. An image processing system for automatically extracting distorted circular image elements, including an evaluation unit, the evaluation unit being configured for analyzing an image, by performing the following steps:
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(a) determining, by means of a circle detection, at least one circular image section of the image, as a first approximation of at least one distorted circular image element, (b) determining, via a statistical colour analysis of the at least one determined circular image section whether the circular image section belongs to one of one or more predefined colour classes and, assigning the circular image section to the respective colour class, and (c) determining an exact shape of the at least one distorted circular element by starting with at least one of the one or more determined circular image sections assigned to one of the one or more colour classes and varying the image section to maximize a value of a colour-class specific function of the image section. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification