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Improved method for extracting sub-pixel edge

A sub-pixel edge, extraction method technology, applied in machine vision and physics, can solve problems such as unsatisfactory accuracy, low image processing speed, weak adaptive ability, etc., to reduce the amount of calculation, improve the adaptive ability and accuracy , the effect of reducing interference

Inactive Publication Date: 2012-10-17
SHANGHAI RO INTELLIGENT SYST
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Problems solved by technology

[0003] The purpose of the present invention is to provide an improved sub-pixel edge extraction method, which will solve the problem that the sub-pixel edge extraction algorithm in the prior art is easily disturbed by irrelevant parts in the image, self-adaptive Technical problems of weak ability, unsatisfactory accuracy, and low image processing speed

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Embodiment 1

[0015] The improved sub-pixel edge extraction method of the present invention includes a step of extracting image edges with a sub-pixel edge extraction algorithm in a computer, wherein, before the step of extracting image edges with a sub-pixel edge extraction algorithm, according to The edge of the image is extracted with one-time pixel precision of the image, and the rough positioning of the edge is completed, and then the original image is cut according to the result of the rough positioning of the edge, and only the image of the edge area is retained.

[0016] Further, such as figure 1 As shown, before the step of extracting the edge of the image with the sub-pixel edge extraction algorithm, first select the part to be detected from the original image 1, and then, as figure 2 As shown, in the selected area 2, the binarized image 3 is obtained by the method of automatic threshold segmentation, such as image 3 As shown, the edge ( image 3 middle white line area), such ...

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Abstract

The invention discloses an improved method for extracting a sub-pixel edge. The improved method comprises the steps of firstly extracting the edge in the original image according to an actual pixel to perform coarse positioning on the edge, then cutting the original image according to the result of the coarse positioning to obtain the image only with the edge, and finally extracting the sub-pixel edge in the image subjected to cutting through using a sub-pixel edge extraction algorithm. An image is cut by estimated edge positions, other interferential parts are completely removed, interference of irrelevant information can be reduced, the accurate edge extraction is performed on the sub-pixel in the left image, the operation amount is greatly reduced, the adaptive capability and the accuracy degree of the algorithm are improved, and the image processing is greatly accelerated.

Description

Technical field: [0001] The invention relates to the field of physics, in particular to measurement technology, in particular to the technology for extracting image edges in the field of machine vision, and in particular to an improved sub-pixel edge extraction method. Background technique: [0002] In the field of machine vision, it is often necessary to extract the edges of images from images. Edges extracted according to the actual pixel accuracy of the image are not fine enough. A sub-pixel edge extraction algorithm is proposed in the prior art, which subdivides each actual pixel into smaller units, and then extracts the edges of these units, thereby obtaining fine image edges. However, the existing sub-pixel edge extraction algorithm is easily disturbed by irrelevant parts of the image, has weak adaptive ability, unsatisfactory accuracy, and low image processing speed. Invention content: [0003] The purpose of the present invention is to provide an improved sub-pix...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 沈安祺王培源李侠刘超何星
Owner SHANGHAI RO INTELLIGENT SYST
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