Method and device for material segmentation of material accumulation images

A material accumulation and material segmentation technology, applied in the field of electronics, can solve problems such as difficulty in removing noise information

Inactive Publication Date: 2012-09-12
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accumulations on the conveyor belt overlap and accumulate, and in the binary image after threshold segmentation, multiple adjacent or accumulated accumulations are connected together, an

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for material segmentation of material accumulation images
  • Method and device for material segmentation of material accumulation images
  • Method and device for material segmentation of material accumulation images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] The specific processing flow of a method for material segmentation of a material accumulation image provided in this embodiment is as follows: figure 1 As shown, the following processing steps are included:

[0024] Step 11: Perform filtering processing on the color original image of material accumulation to obtain a smooth image.

[0025] The camera and light source are installed above the accumulation conveyor belt, and the collected images are transmitted to the remote server by the gigabit network for real-time image processing. Each frame of image is processed as follows:

[0026] The color original image of the collected material accumulation is processed by bilateral filtering to obtain a smooth image. The color value of each pixel after filtering is obtained by the weighted sum of the neighboring pixels. The weight is composed of two factors, that is, the neighborhood pixel Color difference and spatial distance. The bilateral filtering process removes the int...

Embodiment 2

[0064] This embodiment provides a device for material segmentation of material accumulation images, the specific structure of which is as follows image 3 As shown, the following modules are included:

[0065] The smoothing and gradient image acquisition module 31 is used to filter the original image of material accumulation to obtain a smooth image, and after performing morphological operations on the smooth image, subtract it from the original image to obtain a gradient image;

[0066] A binary image acquisition module 32, configured to threshold the gray value of each pixel in the smooth image to obtain a binary image;

[0067] The distance-smoothed image acquisition module 33 is used to fill the internal noise of the binary image by a scanning line filling method, and disconnect the accumulation objects connected in the binary image to obtain a distance-smoothed image;

[0068] The deposit boundary information acquisition module 34 is used to perform a geodesic open opera...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method and a device for material segmentation of material accumulation images. The method mainly comprises carrying out filtering processing of original material accumulation images to obtain smoothed images, and after carrying out morphological operation on the smoothed images, carrying out subtraction on the smoothed images and the original images to obtain gradient images; carrying out threshold processing on a gray value of each pixel in the smoothed images to obtain binary images; filling internal noise of the binary images through a scan-line filling method, and disconnecting connected accumulation targets in the binary images to obtain distance smoothed images; carrying out geodesic opening operation on the distance smoothed images to extract central target areas of various accumulation objects, outwardly growing in parallel from the central target areas of various accumulation objects in the gradient images to the edges of the accumulation objects to obtain boundary information of various accumulation objects. According to embodiments provided in the invention, materials in an accumulation scene can be accurately and effectively segmented.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a method and device for material segmentation of material accumulation images. Background technique [0002] Collect and process the material accumulation images transported on the conveyor belt to obtain the material segmentation results, which are used for real-time quality inspection and fault diagnosis of the production process of the enterprise, which is of great significance to the production process of the enterprise. The material conveyed on the conveyor belt is accumulated, the scale of the material is large and the shape is irregular, part of the boundary information is covered by shadows, the light source causes uneven distribution in the collected image, and there is almost no background information in the entire frame of image, resulting in only relying on the color of the image Information is difficult to distinguish from piles. If the surface of the accumulati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00
Inventor 张国英马郁佳朱红
Owner CHINA UNIV OF MINING & TECH (BEIJING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap