Light template matching method of structured light three-dimensional vision system

A technology of three-dimensional vision and matching method, which is applied in the fields of data processing, computer vision, and image processing. It can solve problems such as low imaging accuracy, matching, and inability to perform light templates, and achieve high imaging accuracy and good matching effects.

Active Publication Date: 2010-03-17
日照东方缘日用制品有限公司
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Problems solved by technology

[0012] In order to overcome the deficiencies of existing structured light vision imaging systems that cannot match light templates, have low imaging precision, and cannot effectively realize three-dimensional reconstruction, the present invention

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  • Light template matching method of structured light three-dimensional vision system
  • Light template matching method of structured light three-dimensional vision system
  • Light template matching method of structured light three-dimensional vision system

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[0048] The present invention will be further described below in conjunction with the drawings.

[0049] Reference Figure 1~Figure 9 , A light template matching method of a structured light vision imaging system, including the following steps:

[0050] 1) Positioning of the light strip boundary:

[0051] The light template to be detected is a one-dimensional fringe code, scanned along each column of the image, and each channel of each pixel is preprocessed with a one-dimensional column operator. The one-dimensional operator is as shown in the figure Figure 7 As shown, the pixels with strong gray changes are determined as candidate edge points. On each column of the image, with the candidate edge point as the center, select a certain size area, the maximum value does not exceed 1 / 2 of the width of the light bar, and search for local areas The steps are as follows:

[0052] (1.1). Initialize candidate edge points as the center of a region z i, j ;

[0053] (1.2). Search along the colum...

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Abstract

A light template matching method of a structured light three-dimensional vision system comprises the following steps of: 1) optical strip boundary positioning, i.e. a light template to be detected isan one-dimensional stripe code, scanning is carried out along each line of an image, each passage of each pixel point carries out pretreatment by one-dimensional line operators, the pixel points withstrong grayscale change are determined to be candidate margin points, an area with a certain size is selected from each line of the image by taking the candidate margin points as the centers, the maximum size of the area is no greater than 1/2 of optical strip width, and a partial field is searched; and 2) optical strip matching, i.e. a color clustering method is adopted for creating a color matching feature vector, image color is compared with projected color, and candidate optical strip colors including red, green, blue and white are distributed by defining Euclidean distance of the color feature vector and a clustering center. The light template matching method can realize fine light template matching, high imaging accuracy and the reconstruction of the structured light three-dimensional vision system.

Description

technical field [0001] The invention relates to computer vision, data processing and image processing, in particular to a light template matching method of a structured light three-dimensional vision system. Background technique [0002] The human eye's observation and processing of color is a physiological and psychological phenomenon. In order to use a computer to process the color information in an image, it must be able to describe it in a quantitative way, that is, to establish a corresponding color model. All colors in nature can be synthesized from three colors: red, green, and blue (R, G, B). For the amount of red (green / blue) components, it is artificially divided into 256 levels from 0 to 255, 0 means no red (green / blue) components, and 255 means 100% red (green / blue) components. According to various combinations of red, green and blue, 256×256×256 colors can be represented. For example, a pixel is displayed as cyan when its red, green and blue components are 0, 2...

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Application Information

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IPC IPC(8): G06T17/00G01B11/25
Inventor 陈胜勇胡正周刘盛原长春潘贝
Owner 日照东方缘日用制品有限公司
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