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SIFT image feature point extraction method based on Canny operator and Hilbert-Huang transform

A technology of image feature points and operators, applied in the field of image processing

Inactive Publication Date: 2017-05-24
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] The SIFT algorithm is an image feature point matching algorithm proposed by Lowe in 2004. By determining the scale space, detecting the position of key points, determining the position of key points, and describing the selected key points, image matching is finally realized. However, the SIFT algorithm There are also defects. Many of the key points obtained after edge detection using the DOG operator in the SIFT algorithm are not real key points due to edge response.

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  • SIFT image feature point extraction method based on Canny operator and Hilbert-Huang transform
  • SIFT image feature point extraction method based on Canny operator and Hilbert-Huang transform
  • SIFT image feature point extraction method based on Canny operator and Hilbert-Huang transform

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[0075] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0076] In view of the defects of the SIFT algorithm, many of the key points obtained after the edge detection using the DOG operator in the SIFT algorithm are not real key points due to the edge response. In edge detection, the Canny operator has multiple optimizations such as filtering, enhancement, and detection, and is less disturbed by noise. However, in the processing steps of the Canny operator, when the Gaussian operator is used to smooth the image, excessive smoothing and edge shift will occur. bit situation. The two-dimensional Hillbert-Huang transform is used in image decomposition, which can decompose the image into corresponding intrinsic modulus functions to make the edge outline clearer. Therefore, the Canny and Hillbert-Huang transforms are fused to detect e...

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Abstract

The invention provides an SIFT image feature point extraction method based on the Canny operator and Hilbert-Huang transform, and relates to the field of image processing. The method is an improved method for SIFT image feature point extraction based on the Canny operator and Hilbert-Huang transform. The method employs a technical scheme of the fusion of the Canny operator and Hilbert-Huang transform, irons out the defects that a conventional SIFT algorithm is not good in instantaneity, the number of feature point is smaller sometimes and the feature points of a target with the smooth edge cannot be extracted, can effectively improve the anti-noise capability of the SIFT feature points, improves the stability of an algorithm, and provides a good basis for the three-dimensional reconstruction and target positioning.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for matching image feature points. Background technique [0002] As an indispensable and important research method in the fields of industry, agriculture, commerce and military, image matching has been continuously explored by people in recent years. There are mainly the following methods at home and abroad: color or grayscale feature extraction, texture Edge feature extraction, image algebraic feature extraction, and image transformation coefficient feature extraction. Among them, the SIFT (Scale-invariant feature transform) algorithm is less affected by the light intensity, has good results for target occlusion processing, good robustness and real-time high-speed It is widely used by many scholars in feature point detection. [0003] The SIFT algorithm is an image feature point matching algorithm proposed by Lowe in 2004. By determining the scale space, detecting the p...

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Application Information

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IPC IPC(8): G06K9/46G06T7/13G06T5/00
CPCG06T2207/20016G06V10/44G06V10/462G06T5/70
Inventor 王晓楠黄登山
Owner NORTHWESTERN POLYTECHNICAL UNIV
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