Method for image recombination of a plurality of images and image identification and system for image acquiring and identification
First Claim
Patent Images
1. A method for image identification, comprising steps of:
- acquiring a plurality of images;
determining a region of interest in an image from the plurality of images and acquiring features in the region of interest;
acquiring from other regions, a feature region corresponding to the region of interest according to the acquired features; and
performing an image recombination process to form a recombined image according to a plurality of feature regions and the region of interest; and
identifying the recombined image by;
acquiring at least one feature image in the recombined image, each pixel of the feature image having a third feature value;
providing a database comprising a plurality of sample images therein, each having respectively a standard image region and at least a non-standard image region such that the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively;
performing a calculation on the third feature values and the first feature values and the second feature values corresponding to the pixels in the plurality of sample images to obtain similarity indexes of the feature image corresponding to the plurality of sample images respectively;
collecting the similarity indexes with respect to the feature image compared with the plurality of sample images;
sorting the similarity indexes; and
outputting at least one of comparison results which correspond to the sorted similarity indexes,wherein the first feature values each include a combination of a positive weight value and a greyscale value,wherein the second feature values each include a combination of a negative weight value and a greyscale value,wherein the third feature values are each a greyscale value.
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Abstract
The present invention provides a method for image recombination of a plurality of images and image identification and a system for image acquiring and identification. Features with respect to the plurality of images are recombined and enhanced so as to form a recombined image. After that, the recombined image is processed to emphasize the features of the recombined image so that the recombined image is capable of being identified easily. Furthermore, the present provides a system to perform the foregoing method, whereby reducing unidentified problems caused due to low quality image of the monitoring system.
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Citations
11 Claims
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1. A method for image identification, comprising steps of:
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acquiring a plurality of images; determining a region of interest in an image from the plurality of images and acquiring features in the region of interest; acquiring from other regions, a feature region corresponding to the region of interest according to the acquired features; and performing an image recombination process to form a recombined image according to a plurality of feature regions and the region of interest; and identifying the recombined image by; acquiring at least one feature image in the recombined image, each pixel of the feature image having a third feature value; providing a database comprising a plurality of sample images therein, each having respectively a standard image region and at least a non-standard image region such that the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively; performing a calculation on the third feature values and the first feature values and the second feature values corresponding to the pixels in the plurality of sample images to obtain similarity indexes of the feature image corresponding to the plurality of sample images respectively; collecting the similarity indexes with respect to the feature image compared with the plurality of sample images; sorting the similarity indexes; and outputting at least one of comparison results which correspond to the sorted similarity indexes, wherein the first feature values each include a combination of a positive weight value and a greyscale value, wherein the second feature values each include a combination of a negative weight value and a greyscale value, wherein the third feature values are each a greyscale value. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for image acquiring and identification, comprising:
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an image input unit capable of providing a plurality of images; an image processing unit coupled to the image input unit, the image processing unit further comprising; a feature acquiring unit capable of acquiring features in a region of interest on an image from the plurality of images and acquiring from other regions a plurality of feature regions corresponding to the region of interest according to the acquired features; a recombination unit capable of performing an image recombination process according to the plurality of feature regions and the region of interest to form a recombined image, the image processing unit including; a database comprising a plurality of sample images therein, each having respectively a standard image region and at least a non-standard image region so that the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively; and an identification and comparison unit coupled to the recombination unit to identify the recombined image, the identification and comparison unit performing a calculation on a third feature value of each pixel in a feature image in the recombined image, and the first feature value and the second feature value corresponding to the pixels in the plurality of sample images to obtain similarity indexes of the feature image corresponding to the plurality of sample images respectively, the identification and comparison unit further collecting the similarity indexes with respect to the feature image compared with the plurality of sample images, wherein the first feature values each include a combination of a positive weight value and a greyscale value, wherein the second feature values each include a combination of a negative weight value and a greyscale value, wherein the third feature values are each a greyscale value. - View Dependent Claims (8, 9, 10, 11)
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Specification