APPARATUS AND METHOD OF RECOGNIZING IMAGE FEATURE PIXEL POINT
First Claim
1. A method of recognizing image feature pixels, comprising:
- receiving an image having a plurality of pixels;
subsequent filtering the pixels at least once by detecting edge pixels of an object in the image based on pixel values of the pixels, so as to obtain a plurality of candidate pixels; and
performing difference of Gaussian (DOG) blurring operations on the candidate pixels to find the candidate pixels having a relative extreme value as a plurality of feature pixels.
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Abstract
An apparatus and a method of recognizing image feature pixels is related to the recognizing method including receiving an image having a plurality of pixels; subsequent filtering the pixels at least once by detecting the edge pixels of objects in the received image based on pixel values of the pixels, so as to obtain a plurality of candidate pixels; and performing multiple difference of Gaussian (DOG) blurring operations on the candidate pixels to find the candidate pixels having a relative extreme value as a plurality of feature pixels. Therefore, the processing time of recognizing image feature pixels may be reduced.
15 Citations
18 Claims
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1. A method of recognizing image feature pixels, comprising:
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receiving an image having a plurality of pixels; subsequent filtering the pixels at least once by detecting edge pixels of an object in the image based on pixel values of the pixels, so as to obtain a plurality of candidate pixels; and performing difference of Gaussian (DOG) blurring operations on the candidate pixels to find the candidate pixels having a relative extreme value as a plurality of feature pixels. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus of recognizing image feature pixels, comprising:
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an image receiving end, for receiving an image having a plurality of pixels; at least one filter, which is sequentially connected in series, wherein a filter in the most upstream among the filters is electrically connected to the image receiving end, and the filter is used for subsequent filtering the pixels to detect edge of objects in the receiving image based on pixel values of the pixels, so as to obtain a plurality of candidate pixels; and a feature describing module, electrically connected to the image receiving end and the filter in the most downstream among the filters, for performing difference of Gaussian (DOG) blurring operations based on the candidate pixels output from the filter in the most downstream to find the pixels having a relative extreme value as a plurality of feature pixels. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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Specification