APPARATUS AND METHOD FOR RECOGNIZING IMAGE
First Claim
1. An apparatus for recognizing an image, comprising:
- a feature extractor for inputting the pixel values of an input image, x-axis and y-axis gradients of the input image, and a value obtained using the x-axis and y-axis gradients into a Haar-like filter and extracting features of the input image; and
an image classification unit for classifying the input image as a true or false image using, in stages, the features of the input image extracted by the feature extractor, multiple threshold values for a true image, and multiple threshold values for a false image.
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Abstract
Provided are an apparatus and method for recognizing an image. In the apparatus and method for recognizing an image, various features can be extracted by a Haar-like filter using 1st to nth order gradients of the x- and y-axis of an input image, and the input image is correctly classified as a true or false image using, in stages, the extracted features of the input image, multiple threshold values for a true image and multiple threshold values for a false image. Accordingly, the apparatus and method achieve a high recognition rate by performing a small amount of computation. Consequently, it is possible to rapidly and correctly recognize an image, enabling real-time image recognition.
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Citations
10 Claims
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1. An apparatus for recognizing an image, comprising:
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a feature extractor for inputting the pixel values of an input image, x-axis and y-axis gradients of the input image, and a value obtained using the x-axis and y-axis gradients into a Haar-like filter and extracting features of the input image; and an image classification unit for classifying the input image as a true or false image using, in stages, the features of the input image extracted by the feature extractor, multiple threshold values for a true image, and multiple threshold values for a false image. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of recognizing an image, comprising:
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generating x-axis and y-axis gradients of an input image; calculating absolute values of the x-axis and y-axis gradients and an absolute value of a complex number formed from the x-axis and y-axis gradients; inputting the pixel values of the input image, the x-axis and y-axis gradients, the absolute values of the x-axis and y-axis gradients, and the absolute value of the complex number formed from the x-axis and y-axis gradients into a Haar-like filter, and extracting features of the input image; normalizing brightness of the input image using the x-axis and y-axis gradients; and classifying the input image as a true or false image using, in stages, the extracted features of the input image, multiple threshold values for a true image, and multiple threshold values for a false image. - View Dependent Claims (8, 9, 10)
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Specification