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RANSAC-based laser network mark image feature extraction

A technology of image feature extraction and laser grid, which is applied in the field of image processing, can solve problems such as large amount of calculation, and achieve the effect of improving detection speed

Inactive Publication Date: 2016-08-24
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

The disadvantage of RANSAC is that the amount of calculation is large, and the results of the experiment are closely related to the selection of the threshold.

Method used

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  • RANSAC-based laser network mark image feature extraction
  • RANSAC-based laser network mark image feature extraction
  • RANSAC-based laser network mark image feature extraction

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Experimental program
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Embodiment Construction

[0017] The embodiments of the present invention are described in detail below: this embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following embodiments.

[0018] This embodiment is to extract the straight line features in the laser grid marking image. Due to the complex background, multiple targets and similar gray levels of the laser grid marking image, it is difficult to extract the feature of the target object. In this embodiment, the laser grid marking image on the surface of the elevator guide rail is selected to extract the straight line features, such as figure 1 shown.

[0019] The first step is to change the original image A into a grayscale image B, and calculate the grayscale value of each pixel. According to the gray value of the pixel, a weight value is assigned to each pixel, and...

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Abstract

In the prior art, when feature extraction is carried out on a surface of a workpiece by using a vision sensor, the natural feature of the workpiece surface is not represented obviously, so that the subsequent process becomes convenient. Therefore, projection on the surface of the to-be-detected workpiece by using a laser grid is carried out, so that the workpiece surface has the determined identifiable feature. Because of mark image characteristics of the laser grid, pixel weighting and hypothesis model prechecking methods are put forward based on a random sample consensus (RANSAC) algorithm, thereby carrying out feature extraction of the laser grid mark. The experiment result demonstrates that defects of a high calculation load of the RANSAC algorithm can be overcome by using the method and the method has high accuracy and robustness during the laser grid mark feature extraction process of the actual image.

Description

technical field [0001] The present invention relates to a method in the technical field of image processing, in particular to a RANSAC (Random Sample Consensus)-based laser grid marking image feature extraction method. Background technique [0002] Target recognition is an important branch of computer in the field of intelligence, and the essence of target recognition is a mapping from the target feature space to the recognition sample space. Object recognition has been widely used in industrial manufacturing, information security, access control security, license plate recognition and other fields. Object recognition is also called feature extraction in the field of vision. [0003] Image feature extraction refers to the process of extracting features that can reflect the essential attributes of image content, such as points, lines, edges, textures, etc. In image feature extraction, salient points are some relatively stable and prominent points in the region of interest t...

Claims

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Application Information

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IPC IPC(8): G06K9/46
CPCG06V10/462
Inventor 秦煜吴静静安伟
Owner JIANGNAN UNIV
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