Gradient vector-based feature point description operator image matching method and system
A technology for describing operators and gradient vectors, applied in computing, computer parts, instruments, etc., can solve problems such as unsatisfactory matching requirements, high time complexity, and low discrimination, and achieve real-time, simplified calculation process, High operator discriminative effect
Pending Publication Date: 2021-11-09
CHENGDU TECHCAL UNIV
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However, the two descriptors are not very discriminative
[0004] By comparing the performance of various current description operators, although the current SIFT and SURF operators have the best performance, but the time complexity is too high, while other description operators have fast calculation time, but the performance is not enough
Especially when the image has rotation changes, illumination changes and scale changes, it cannot meet the matching requirements based on feature points
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[0055] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0056] Such as figure 1 As shown, the present invention provides an image matching method based on a gradient vector-based feature point description operator, comprising the following steps S1-step S4:
[0057] S1. Collect the original image and the target image, and detect the feature points in the original image and the target image;
[0058] In practice, after collecting the original image and the target image, any exis...
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The invention discloses a gradient vector-based feature point description operator image matching method and system, and the method comprises the steps: collecting an original image and a target image, detecting feature points in the original image and the target image, and constructing an original image feature point description operator and a target image feature point description operator through the gradient vector; and calculating the feature point distance between the original image and the target image according to the original image feature point description operator and the target image feature point description operator, and completing matching between the original image and the target image according to the calculated feature point distance. The gradient vector is constructed by adopting the gradient values between the feature points, the problem of low matching precision when the image rotates is effectively solved by combining the rotation invariance of the description operator, the correlation between the original image and the target image is effectively judged by utilizing the normalized vector dot product, the operator calculation is simplified, and the calculation precision and the image matching accuracy are improved.
Description
technical field [0001] The invention relates to the field of image detection, in particular to an image matching method and system based on a gradient vector-based feature point description operator. Background technique [0002] The feature points of an image are usually extreme points in the image, such as edge points, corner points, inflection points, etc. Using the feature points in the image, matching based on feature points can be realized, so as to realize image processing tasks including image stitching, recognition, classification, and positioning. However, the detection of feature points is only the first step in realizing the above tasks. It is also necessary to describe the feature points, generate a feature point description operator, and use the description operator to judge whether the feature points in different images represent the same object, so as to realize The above image processing tasks. The description operator is generally an n-element one-dimensi...
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IPC IPC(8): G06K9/46G06K9/62
CPCG06F18/22
Inventor 王强彭悦蓉田亚铃丁超
Owner CHENGDU TECHCAL UNIV