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Wood powder edge detection algorithm based on target extraction and improved morphological operator

An edge detection algorithm and edge detection operator technology, applied in computing, image data processing, instruments, etc., can solve problems such as different targets and methods that cannot be used universally.

Inactive Publication Date: 2013-08-28
NORTHEAST FORESTRY UNIVERSITY
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Problems solved by technology

Edge detection plays a key role in the recognition of wood flour mesh. At present, there are many methods for image edge detection, but due to different targets, the methods are not universal.

Method used

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  • Wood powder edge detection algorithm based on target extraction and improved morphological operator
  • Wood powder edge detection algorithm based on target extraction and improved morphological operator
  • Wood powder edge detection algorithm based on target extraction and improved morphological operator

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Embodiment Construction

[0014] figure 1 It is a flow chart of the wood powder edge detection algorithm based on target extraction and improved morphological operator; the wood powder edge detection algorithm based on target extraction and improved morphological operator of the present invention comprises the following steps:

[0015] (1) Transform the collected RGB image into HSV color space;

[0016] (2) Extract the S component for threshold segmentation;

[0017] (3) Perform operations such as mathematical morphology and filter denoising to obtain a binarized target for background removal;

[0018] (4) Use the improved morphological edge detection operator proposed by the present invention to detect the edge of the wood flour image to obtain the final result.

[0019] figure 2 A microscopically enlarged image of the collected wood flour;

[0020] image 3 It is the three-component map of the HSV color space of the wood powder image, in which (a) is the H component map, (b) is the S component ...

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Abstract

The invention relates to a wood powder edge detection algorithm based on target extraction and an improved morphological operator. The wood powder edge detection algorithm based on target extraction and the improved morphological operator comprises the following steps of: photographing a wood powder microscopic magnification image; analyzing and processing the image; transforming a red, green, blue (RGB) image into a hue, saturation, value (HSV) color space; performing binary target extraction based on the saturation (S) component; and improving a traditional morphological detection operator by an optimal direction element so as to obtain a good wood powder edge. The method is not influenced by background noise, is good in edge detection effect and accurate in positioning, avoids weight section of multidirectional edge detection synthesis, can perform subsequent processing such as refining on the edge image according to different requirements, can guide the next step of identification process, and has important significance of realizing intelligent detection of the mesh number of the wood powder.

Description

Technical field [0001] The invention relates to a wood powder edge detection algorithm based on a microscopic image, in particular to an edge detection algorithm based on HSV color space object extraction and improved morphological operators. Background technique [0002] With the rise and growth of my country's wood flour processing industry in recent years, wood flour is widely used in all walks of life, which effectively alleviates the tension between supply and demand while saving resources. Wood powder comes from a wide range of sources. As a low-carbon, environmentally friendly new material, it has become a good substitute for wood. The application field of wood flour mainly depends on the mesh number of wood flour. The sieve method is commonly used to detect the mesh number of powder in production. This method is cumbersome to operate, wastes time and energy, and is easy to cause the particles to break again during the sieving process; scientific research Particle si...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 任洪娥张健刘冕董本志
Owner NORTHEAST FORESTRY UNIVERSITY
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