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Mean shift SAR image coastline detection method based on restart factor and minimum feature product

A mean shift and detection method technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as low segmentation performance and poor segmentation accuracy, and achieve the effect of improving classification performance and maintaining edge characteristics

Active Publication Date: 2019-08-06
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

[0005] According to the technical problems of low segmentation performance and poor segmentation accuracy of the existing segmentation algorithm proposed above, a mean shift SAR image coastline detection method based on the restart factor and the minimum feature product is provided, using the mean shift filter based on the restart factor combined with the minimum feature A technical solution for merging areas to achieve high-precision segmentation of coastline images

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  • Mean shift SAR image coastline detection method based on restart factor and minimum feature product
  • Mean shift SAR image coastline detection method based on restart factor and minimum feature product

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[0057] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0058] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordina...

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Abstract

The invention provides a mean shift SAR image coastline detection method based on a restart factor and a minimum feature product, and the method comprises the steps: obtaining an SAR image, carrying out the mean shift filtering of the SAR image based on the restart factor, and carrying out the region combination of the filtered image based on the minimum feature product. According to the technicalscheme of the invention, the technical problems of low segmentation performance and poor segmentation precision of a segmentation algorithm in the prior art are solved, and high-precision segmentation of the coastline image is realized by adopting the technical scheme of combining restart factor-based mean shift filtering with minimum feature product-based region merging.

Description

technical field [0001] The present invention relates to the technical field of coastline detection, in particular to a method for detecting coastlines in mean drift SAR images based on a restart factor and minimum characteristic product. Background technique [0002] Coastline detection is a special segmentation algorithm. Among many segmentation algorithms, the mean shift algorithm is widely used in image segmentation because of its unsupervised characteristics, but it is rarely used in sea and land segmentation. The core of the mean shift algorithm is to find the modulus points belonging to the same class according to the kernel density estimation, and classify the pixels passed by the search path into one class, that is, the points that are the same as the class center are one class. In this process, there is no need to make any assumptions about the image, such as the number of categories or the initial position of each center point. Therefore, the mean shift algorithm ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/194
CPCG06T7/11G06T7/136G06T7/194G06T2207/10044G06T2207/30184
Inventor 史晓非刘玲朱程王飞龙
Owner DALIAN MARITIME UNIVERSITY
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