An edge detection method based on the combination of region growth and an ant colony optimization algorithm

An ant colony optimization algorithm and region growing technology, applied in computing, computing models, artificial life, etc., can solve the problems of poor control of filtering intensity, edge discontinuity, noise elimination, etc., and achieve real-time online image edge detection and save computing cost, speed-up effect

Inactive Publication Date: 2019-01-11
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0003] The existing image edge detection method is greatly affected by noise. For example, the existing logarithmic function image edge detection method cannot eliminate noise according to the logarithmic function property. Although the detection efficiency is high, the edge display effect is not good and the edge is discontinuous; The Gaussian filtering image edge detection method can eliminate noise and make the image edge smooth, but when dealing with high-order noise, the filtering strength is not easy to control, which often results in excessive smoothing of the edge

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  • An edge detection method based on the combination of region growth and an ant colony optimization algorithm
  • An edge detection method based on the combination of region growth and an ant colony optimization algorithm
  • An edge detection method based on the combination of region growth and an ant colony optimization algorithm

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[0040] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;

[0041] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0042] For those skilled in the art, it is understandable that certain common knowledge and descriptions thereof may be omitted in the accompanying drawings.

[0043]The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] figure 1 It shows a method flow chart of an edge detection method based on the combination of region growing and ant colony optimization algorithm provided by the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0045] An edge detection method based on the combination of region growing and an...

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Abstract

The invention relates to an edge detection method based on the combination of region growth and an ant colony optimization algorithm, the method comprising the following steps: S1, processing an imageby adopting a region growth method to extract a region of interest; S2, adopting ant colony optimization method to generate pheromone matrix for the extracted region of interest; S3, for the extracted ROI, using the pheromone matrix generated by ant colony optimization method to calculate the threshold value and determine the image edge. The invention overcomes the technical defects of the priorart such as unclear edge, discontinuous edge and large noise influence, improves the prior ant colony algorithm which is easy to converge prematurely, and provides an edge detection method based on the combination of the region growth and the ant colony optimization algorithm.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to an edge detection method based on the combination of region growing and ant colony optimization algorithm. Background technique [0002] The purpose of image segmentation is to separate the target from the background and provide a basis for the subsequent processing of computer vision. Image segmentation is the premise of image understanding and computer vision, and it is also one of the basic technologies of image processing and analysis. Image segmentation has been used in many fields, for example, in the application of infrared technology, the segmentation of targets in infrared imaging tracking systems, the segmentation of infrared thermal images in infrared non-destructive testing; in remote sensing applications, the segmentation of targets in synthetic aperture radar images etc.; in medical applications, the segmentation of magnetic resonance images and blood ce...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06N3/00
CPCG06N3/006G06T2207/20104G06T7/13
Inventor 庄家卫万频王永华杨健连轶群
Owner GUANGDONG UNIV OF TECH
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