Method and system for detecting surface defects of hose

Abstract

The invention discloses a method and system for detecting surface defects of a hose. The method comprises the following steps: (1) carrying out graying processing on a template image; (2) carrying outgraying processing and de-noising processing on a to-be-detected hose image to obtain an image Fore; (3) processing the images to obtain new images; (4) processing to obtain a gray-scale image; (5) respectively extracting outlines of the images, and obtaining two images; (6) carrying out bit OR operation on the gray-scale image and the two new images respectively, comparing the gray-scale image with the two new images, and merging into one image to generate a new image; (7) filtering out the interference information to obtain an image Image1; and (8) carrying out region histogram threshold segmentation on the image Image1, and extracting a protruding part in each gray-scale subsection as defect information of the to-be-detected hose. The system comprises a detection camera and a control panel. The detection of the design is based on a region histogram and contour weighted segmentation, so that the surface defects of the plastic hose are detected; and the detection efficiency is effectively improved, and the occurrence of defect false detection is reduced.

Description

technical field [0001] The invention relates to the technical field of surface defect detection, in particular to a method for detecting surface defects of a hose and a detection system thereof. Background technique [0002] At present, there is a large demand for plastic hoses in the chemical products, skin care products, and daily necessities industries. With the wide application of plastic hoses and the continuous introduction of new products, production equipment and production processes also need to be upgraded. The current traditional machine vision detection algorithm Both are based on the feature matching method between the template and the image to be detected. The detection speed of this algorithm is slow, and when there is environmental noise interference, it is easy to form false detection and the detection stability is poor. Contents of the invention [0003] The object of the present invention is to propose a detection method for surface defects of a hose, wh...

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Problems solved by technology

[0002] At present, there is a large demand for plastic hoses in the chemical products, skin care products, and daily necessities industries. With the wide application of plastic hoses and the continuous introduction of new products, production equipment and production processes also need to be upgraded. The current traditional machine vision detection algorithm Both are based on the feature matching method of the template and the image to be detected. The detection speed of this algorithm is slow, and when there is environmental noise interference, it is easy to form false detection and the detection stability is poor.

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