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Adaptive particle swarm algorithm-based grayscale threshold obtaining method and image segmentation method

A particle swarm algorithm and gray threshold technology, applied in the field of image processing, can solve complex problems and achieve the effect of reducing possibility, accurate and efficient image segmentation, and accurate image analysis

Pending Publication Date: 2017-12-19
杭州吉吉知识产权运营有限公司
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Problems solved by technology

[0006] Although the above-mentioned existing applications optimize the convergence speed to a certain extent, they are relatively complicated

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  • Adaptive particle swarm algorithm-based grayscale threshold obtaining method and image segmentation method
  • Adaptive particle swarm algorithm-based grayscale threshold obtaining method and image segmentation method
  • Adaptive particle swarm algorithm-based grayscale threshold obtaining method and image segmentation method

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Embodiment Construction

[0044] The following are specific embodiments of the present invention and in conjunction with the accompanying drawings, the technical solutions of the present invention are further described, but the present invention is not limited to these embodiments.

[0045] Parallel region segmentation technology is a technology that detects regions of interest in a parallel manner to segment images. First of all, for a grayscale image, this technology will classify all pixels into two categories according to a predetermined grayscale threshold in the image grayscale value range, and pixels with grayscale values ​​greater than the grayscale threshold are classified into one category. Pixels whose grayscale value is less than the grayscale threshold are classified into another category, and pixels whose grayscale value is equal to the grayscale threshold can be classified into any one of the first two categories depending on the situation. Usually, two types of pixels belong to two type...

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Abstract

The invention discloses an adaptive particle swarm algorithm-based grayscale threshold obtaining method and an image segmentation method, and belongs to the technical field of image processing. The grayscale threshold obtaining method is characterized by comprising the following steps of S01, performing population initialization on a grayscale value of an image; S02, calculating a fitness value of an individual in a population; S03, calculating an optimal position and a global optimal position of the individual in the population; S04, updating the optimal position and the global optimal position of the individual in the population; and S05, judging whether a stop condition is met or not, and if the stop condition is met, obtaining an optimal solution and obtaining an optimal grayscale threshold, otherwise, executing the step S02 to enter a next-generation population, wherein the optimal position and the global optimal position of the individual are dynamically adjusted by adopting an inertial weight in the step S04. The grayscale threshold obtaining method has autonomic learning property, adaptivity and relatively high robustness, can concurrently solve the grayscale threshold globally and better avoid local optimum, and is accurate and efficient.

Description

technical field [0001] The technical field of image processing of the present invention, in particular, relates to a gray threshold acquisition method and an image segmentation method based on an adaptive particle swarm optimization algorithm. Background technique [0002] Image processing is essentially the act of processing image information to meet people's visual psychology or application needs. Image segmentation is a kind of image processing technology, and its purpose is to divide the image into regions with different characteristics and extract the parts of interest to meet people's certain needs. In recent years, the research on image segmentation has always been a hot spot in the research center of image processing technology. People's attention and investment in it have been increasing. It is an important image analysis technology and a key step from image processing to image analysis. [0003] Image segmentation methods mainly include edge detection segmentation...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06N3/00
CPCG06N3/006G06T7/11G06T7/136
Inventor 李鹏
Owner 杭州吉吉知识产权运营有限公司
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