Method and system for fuzzy image classification
First Claim
1. A method for electronically classify a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes and an other class, comprising the steps of:
- (a) receiving a set of digital image data including the pixel;
(b) determining a membership value for the pixel for each image class and a membership value for the pixel for the other class, each image class being defined by a set of heuristic rules, said sets being non-mutually exclusive, the membership value for an image class being independent of the other membership values for the image classes, the membership value for the other class being dependent on the membership values of the image classes; and
(c) generating a classification vector for the pixel based on the determination in said step (b).
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Abstract
A method and system electronically fuzzy classify a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes. This process determines a fuzzy classification of the pixel and generates an effect tag for the pixel based on the fuzzy classification determination. Each class is defined by a set of heuristic rules such that the image classes are non-mutually exclusive. The heuristic rules are a set of conditions that define the membership value of the pixel within a certain class, thereby allowing a pixel to have a membership value in every possible image class.
99 Citations
14 Claims
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1. A method for electronically classify a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes and an other class, comprising the steps of:
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(a) receiving a set of digital image data including the pixel; (b) determining a membership value for the pixel for each image class and a membership value for the pixel for the other class, each image class being defined by a set of heuristic rules, said sets being non-mutually exclusive, the membership value for an image class being independent of the other membership values for the image classes, the membership value for the other class being dependent on the membership values of the image classes; and (c) generating a classification vector for the pixel based on the determination in said step (b). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification