Multistage threshold image segmentation method

An image segmentation and thresholding technology, applied in the aerospace field, can solve problems such as large amount of calculation, inability to deal with complex content images, color and albedo differences, etc., and achieve the effect of improving speed and accuracy

Pending Publication Date: 2020-11-13
INNOVATION ACAD FOR MICROSATELLITES OF CAS +1
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Problems solved by technology

These algorithms can detect rocks, but because the surface texture is uneven, their color and albedo are different, and for non-cratered surfaces, it is difficult to find their actual boundary outlines
In addition, because the result of threshold segme

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  • Multistage threshold image segmentation method
  • Multistage threshold image segmentation method
  • Multistage threshold image segmentation method

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Embodiment Construction

[0029] In the following description, the present invention is described with reference to various examples. One skilled in the art will recognize, however, that the various embodiments may be practiced without one or more of the specific details, or with other alternative and / or additional methods, materials, or components. In other instances, well-known structures, materials, or operations are not shown or described in detail so as not to obscure the inventive concepts of the present invention. Similarly, for purposes of explanation, specific quantities, materials and configurations are set forth in order to provide a thorough understanding of embodiments of the invention. However, the invention is not limited to these specific details. Furthermore, it should be understood that the embodiments shown in the drawings are illustrative representations and are not necessarily drawn to correct scale.

[0030] In this specification, reference to "one embodiment" or "the embodiment...

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Abstract

The invention discloses a multi-level threshold image segmentation method, which comprises the following steps of: firstly, initializing a grey wolf group; calculating the fitness of each grey wolf individual, and determining the positions of an alpha wolf, a beta wolf and a delta wolf; and updating the positions of the alpha wolf, the beta wolf and the delta wolf according to the distances between the remaining grey wolf individuals and the alpha wolf, the beta wolf and the delta wolf, updating the positions of the remaining grey wolf individuals through a particle swarm algorithm, and finally obtaining an optimal threshold through multiple iterations to perform image segmentation.

Description

technical field [0001] The invention relates to the field of aerospace technology, in particular to a multi-level threshold image segmentation method. Background technique [0002] In deep space exploration missions, probes need to land in complex terrain areas, so on-orbit fast obstacle detection technology is very important. Obstacle detection based on optical images is one of the important navigation algorithms in the current planetary landing process. The obstacle detection algorithm refers to the algorithm based on visual images and ground surface detection, which can realize online rapid detection of obstacles such as rocks and ravines, and lay the foundation for landing obstacle avoidance and path planning. [0003] Early studies on planetary landing obstacle detection were all oriented towards large planets and larger asteroids. The distinctive craters were used as surface features to guide landing guidance and control, while the identification of craters was manuall...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/187G06T7/194G06N3/00
CPCG06N3/006G06T2207/10004G06T2207/10024G06T2207/20081G06T7/11G06T7/136G06T7/187G06T7/194
Inventor 聂启颖朱振才张永合王亚敏
Owner INNOVATION ACAD FOR MICROSATELLITES OF CAS
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