Method and apparatus for providing image classification based on opacity
First Claim
1. A method comprising:
- determining, by an apparatus, image data from a plurality of bounding boxes each centering at an identical point of an image, wherein the bounding boxes are of different sizes each smaller than a size of the image;
initiating, by the apparatus, an extraction of one or more fogging attributes from the image data;
initiating, by the apparatus, a mapping of the one or more fogging attributes to one or more features of at least one classifier, wherein the at least one classifier is trained based, at least in part, on a co-registration of the one or more features to one or more records of previously made image judgements; and
initiating, by the apparatus, a classification of the image as either in a fogging-afflicted state or a non-fogging-afflicted state based, at least in part, on the at least one classifier.
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Abstract
An approach is provided for automated classification of an image based on the fogging attributes associated with the image. The approach involves processing and/or facilitating a processing of image data associated with at least one image to cause, at least in part, an extraction of one or more fogging attributes from the image data. The approach also involves causing, at least in part, a mapping of the one or more fogging attributes to one or more features of at least one classifier, wherein the at least one classifier is trained based, at least in part, on a co-registration of the one or more features to one or more records of previously made image judgements. The approach further involves causing, at least in part, a classification of the at least one image as either in a fogging-afflicted state or a non-fogging-afflicted state based, at least in part, on the at least one classifier.
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Citations
20 Claims
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1. A method comprising:
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determining, by an apparatus, image data from a plurality of bounding boxes each centering at an identical point of an image, wherein the bounding boxes are of different sizes each smaller than a size of the image; initiating, by the apparatus, an extraction of one or more fogging attributes from the image data; initiating, by the apparatus, a mapping of the one or more fogging attributes to one or more features of at least one classifier, wherein the at least one classifier is trained based, at least in part, on a co-registration of the one or more features to one or more records of previously made image judgements; and initiating, by the apparatus, a classification of the image as either in a fogging-afflicted state or a non-fogging-afflicted state based, at least in part, on the at least one classifier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus comprising:
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at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine image data from a plurality of bounding boxes each centering at an identical point of an image, wherein the bounding boxes are of different sizes each smaller than a size of the image; initiate an extraction of one or more fogging attributes from the image data; initiate a mapping of the one or more fogging attributes to one or more features of at least one classifier, wherein the at least one classifier is trained based, at least in part, on a co-registration of the one or more features to one or more records of previously made image judgements; and initiate a classification of the image as either in a fogging-afflicted state or a non-fogging-afflicted state based, at least in part, on the at least one classifier. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:
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determining image data from a plurality of bounding boxes each centering at an identical point of an image, wherein the bounding boxes are of different sizes each smaller than a size of the image; initiating an extraction of one or more fogging attributes from the image data; initiating a mapping of the one or more fogging attributes to one or more features of at least one classifier, wherein the at least one classifier is trained based, at least in part, on a co-registration of the one or more features to one or more records of previously made image judgements; and initiating a classification of the image as either in a fogging-afflicted state or a non-fogging-afflicted state based, at least in part, on the at least one classifier. - View Dependent Claims (19, 20)
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Specification