Method of describing pattern repetitiveness of image
First Claim
1. A method of describing pattern repetitiveness of an image comprising the steps of:
- (a) projecting an image on a predetermined axis having a predetermined direction;
(b) decomposing the projected image down one level;
(c) increasing a threshold value used for denoising if a previous pattern quantizing value is identical to a current pattern quantizing value, and denoising the decomposed data; and
(d) describing pattern repetitiveness of the image using the pattern quantizing value of the denoised data and the threshold value used for denoising.
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Abstract
A method for describing pattern repetitiveness which may exist within an image, is provided. The method of describing pattern repetitiveness of an image comprises: (a) projecting an image on a predetermined axis having a predetermined direction, (b) decomposing the projected image down one level, (c) increasing a threshold value while a pattern quantizing value is retained, and denoising the decomposed data, and (d) describing pattern repetitiveness of the image using the pattern quantizing value of the denoised data and the threshold value used for denoising. Because the method of describing pattern repetitiveness of an image effectively denoises the original image without damaging the pattern repetitiveness of the original image, and the pattern repetitiveness is described using the denoised data, it is possible to describe more definite pattern repetitiveness.
20 Citations
12 Claims
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1. A method of describing pattern repetitiveness of an image comprising the steps of:
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(a) projecting an image on a predetermined axis having a predetermined direction; (b) decomposing the projected image down one level; (c) increasing a threshold value used for denoising if a previous pattern quantizing value is identical to a current pattern quantizing value, and denoising the decomposed data; and (d) describing pattern repetitiveness of the image using the pattern quantizing value of the denoised data and the threshold value used for denoising. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of grouping images having similar texture characteristics within an image database in which a plurality of images are stored, the method comprising the steps of:
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(a) projecting an image on a predetermined axis having a predetermined direction; (b) decomposing the projected image down one level; (c) increasing a threshold value used for denoising if a previous pattern quantizing value is identical to a current pattern quantizing value, and denoising the decomposed data; (d) determining pattern repetitiveness vectors including the pattern quantizing value of the denoised data and the threshold value used for denoising as pattern repetitiveness descriptors of images; and (e) grouping images having similar texture characteristics using the pattern repetitiveness descriptors of the images.
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12. A method of describing pattern repetitiveness of an image, the method comprising:
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projecting an image on a predetermined axis to generate a projected image; calculating a pattern quantization value; decomposing the projected image down one level; denoising using a predetermined threshold value; calculating a current pattern quantization value; determining if a previous pattern quantization value is identical to a current pattern quantization value; if the previous pattern quantization value is identical to the current pattern quantization value, increasing a threshold value used for denoising and repeating the denoising at the increased threshold value; and if the previous pattern quantization value is not identical to the current pattern quantization value, determining previous pattern quantizing value as a final pattern quantization value and describing pattern repetitiveness of image based on the final pattern quantization value and the threshold value used for denoising.
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Specification