Underwater sea cucumber image segmentation method based on saliency and Grabcut

An image segmentation and significant technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of GrabCut algorithm relying on manual participation, and achieve the effect of reducing the time of segmentation algorithm, realizing automation and improving efficiency.

Pending Publication Date: 2020-02-28
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of underwater sea cucumber image segmentation method based on saliency and Grabcut, utilize the combination of improved manifold sorting saliency detection and Grabcut algor

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  • Underwater sea cucumber image segmentation method based on saliency and Grabcut
  • Underwater sea cucumber image segmentation method based on saliency and Grabcut
  • Underwater sea cucumber image segmentation method based on saliency and Grabcut

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Embodiment Construction

[0053] The present invention is specifically described below in conjunction with accompanying drawing:

[0054] The present invention mainly selects four data sets with different backgrounds. The four data samples are respectively represented as Normal, Fuzzy, Background, and Illumination. The data sets have different background environments, such as simple background, complex background, close color of sea cucumber background, and uneven illumination.

[0055] to combine Figure 1 to Figure 5 , an underwater sea cucumber image segmentation method based on saliency and Grabcut, comprising the following steps:

[0056] Step 1: Use the Retinex algorithm to defog the collected image and increase the image contrast; use the source image S to represent the image seen by the human eye, the incident light component of the environment is represented by the function L, and the reflection component of the object is represented by the function R, the relationship between the three As s...

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Abstract

The invention discloses an underwater sea cucumber image segmentation method based on significance and Grabcut, and relates to the technical field of digital image analysis and processing. The methodis characterized by comprising the following steps: defogging a collected image by using a Retinex algorithm to increase the image contrast; using an SLIC algorithm to generate a super-pixel graph, and improving the precision of target segmentation; performing target detection on the superpixel image by using a manifold sorting significance algorithm, obtaining a multi-scale significance image ofthe target through multi-scale manifold sorting, and performing weighted fusion to obtain a final significance image of the target; and combining a GrabCut algorithm with the saliency image to realizeinteractive-free segmentation of the sea cucumber target to obtain a final sea cucumber segmentation image. By means of the method, the problem that the GrabCut algorithm depends on manual participation is solved, the segmentation algorithm time is shortened, the GrabCut segmentation efficiency is improved, and automation of GrabCut underwater sea cucumber segmentation is achieved.

Description

technical field [0001] The invention relates to an image segmentation method in the field of image processing, in particular to an underwater sea cucumber image segmentation method based on saliency and Grabcut. Background technique [0002] Sea cucumbers grow on the seabed, the underwater is turbid and the topography is complicated, and they are mainly fished by hand. Personnel need to carry special equipment to dive to the seabed to work, which is inefficient and harmful to the body for a long time. In order to improve sea cucumber fishing efficiency and realize automatic fishing, it is first necessary to realize sea cucumber image segmentation in natural waters. [0003] In recent years, researchers at home and abroad have conducted in-depth research on underwater image segmentation methods. Chen et al. used the double threshold Otsu method to extract edge features, and then used the Hough transform method to segment the target edge. Lee et al. proposed an underwater t...

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Application Information

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IPC IPC(8): G06T7/136G06T5/00
CPCG06T7/136G06T5/003G06T2207/20221
Inventor 赵猛胡易邹立许传诺程学珍刘小峰
Owner SHANDONG UNIV OF SCI & TECH
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