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Contour-based local invariant region detection method

A detection method and local invariant technology, applied in the field of image processing, which can solve the problems of poor method robustness and unstable orientation.

Inactive Publication Date: 2012-08-29
CHONGQING UNIV
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Problems solved by technology

The method to obtain the tangent direction is affected by factors such as contour noise and affine, and these factors often appear in actual scenes and contours, so the direction is not stable, resulting in poor robustness of the method

Method used

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  • Contour-based local invariant region detection method
  • Contour-based local invariant region detection method
  • Contour-based local invariant region detection method

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Embodiment Construction

[0049] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0050] Such as figure 1 Shown in (a)~1(d), the detection method of the contour-based local invariant region of the present invention comprises the following steps:

[0051] Step 1: Input the image to be detected, use the Canny algorithm to extract the image contour, and extract a DoG corner point on the contour;

[0052] Step 2: Fit the contours of the left and right ends of point P respectively to obtain the two sides of the corner point, and the slopes are k 1 and k 2 , with point P as the vertex, k 1 and k 2 An angle is formed for the direction of the two sides, and the direction of the angle bisector is k p , with k p as a characteristic direction;

[0053]...

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Abstract

The invention discloses a contour-based local invariant region detection method. The method mainly utilizes contour corners, angle bisectors of the contour corners and feature points on a contour invariant relative to the angle bisectors to construct an invariant region. Because the angle bisectors have strong anti-noise capability and the affection of rotation, scale and other factors on the angle bisectors is little, the region obtained by the method has high stability and repeatability, and repetition rate experiments of rotation, scale, affine, illumination, noise, blur and the like provethat the method has high processing speed, strong robustness and wide applicability.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting local invariant regions based on contours. Background technique [0002] The extraction and description of image features are of great significance in pattern recognition and image understanding. Local areas of salient features in images often have unique structures, such as corner points, edge points, etc. Extracting unique features from images to express image content is a hotspot in the field of computer vision. It has been widely used in image matching, target recognition, image retrieval and other fields. In real scenes, viewpoints or environments change, so images may be disturbed by noise and background, or undergo changes in scale, rotation, affine, and lighting. Locally invariant regions are independent of these changes and thus point to the same physical region in the scene. [0003] At present, there are many detection methods for loc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/32G06T5/00
Inventor 张小洪葛永新陈远洪明坚徐玲胡海波杨梦宁
Owner CHONGQING UNIV
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