Method and system for metal shelf bulge recognition based on histogram
A recognition method and histogram technology, applied in the field of image processing, can solve problems such as false detection, pixel feature difference, threshold segmentation cannot provide threshold, etc., to achieve the effect of avoiding false detection
Active Publication Date: 2022-06-24
武汉力佰利金属制品有限公司
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However, because the bulge area is a bulge on the original paint surface, it is not much different from the pixel features of the surrounding normal paint surface, and the threshold segmentation cannot provide an accurate threshold, which is easy to cause false detection
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[0042] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes the identification of a sheet metal paint bulge of a metal shelf based on a histogram according to the present invention with reference to the accompanying drawings and preferred embodiments. The method and system, its specific implementation, structure, features and efficacy, are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.
[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0044] The specific scheme ...
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The invention relates to the technical field of image processing, in particular to a histogram-based method and system for identifying bulges on the sheet metal paint surface of metal shelves. In this method, the gray histogram is obtained by the gray value of the pixel itself, and the first probability that each gray value belongs to the background is obtained according to the information of the gray histogram combined with Gaussian fitting. By setting multiple neighborhood ranges, multiple two-dimensional grayscale histograms are obtained, and the neighborhood grayscale histogram corresponding to each grayscale value is obtained according to the two-dimensional grayscale histogram, and according to the information of the neighborhood grayscale histogram Combined with Gaussian fitting to obtain the second probability that the gray mean value of each neighborhood belongs to the background in each neighborhood range under a gray value. Determine the third probability that the pixel point belongs to the background according to the first probability and the second probability, determine the category of the pixel point through the third probability, and obtain the bulging area. The invention judges the pixel category by analyzing the gray level information of the pixel point itself and the gray level information in the neighborhood range, so as to realize accurate identification of the bulging area.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a method and a system for recognizing bulges on sheet metal paint surfaces of metal shelves based on histograms. Background technique [0002] Sheet metal is a comprehensive cold working process for sheet metal, including shearing, punching, cutting, compounding, folding, riveting, splicing, forming and other operations. Sheet metal products have the characteristics of light weight, high strength and low cost. Sheet metal structural parts are the most common sheet metal products. Sheet metal structural parts are widely used in various products, and sheet metal structural parts are often used as the splicing structure of products, of which metal shelves are common assembled products of sheet metal structural parts. In order to design and protect products such as metal shelves that are exposed to the air for a long time, it is necessary to spray paint on the sheet metal....
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IPC IPC(8): G06T7/00G06V10/50G06V10/764G06K9/62
Inventor 丁华
Owner 武汉力佰利金属制品有限公司