基于图像处理的水下海参识别和定位方法

张韫峰; 李 娟; 黎 明

doi:10.11993/j.issn.2096-3920.2021.01.016

基于图像处理的水下海参识别和定位方法

doi: 10.11993/j.issn.2096-3920.2021.01.016

张韫峰^1,2,
李娟²,
黎明¹

1.
中国海洋大学工程学院, 山东青岛, 266100
2.
青岛农业大学机电工程学院, 山东青岛, 266109

基金项目: 国家自然科学基金项目(32073029; 41674037); 山东省自然科学基金重点项目(ZR202010310016); 山东省研究生教育质量提升计划项目(SDYJG19134); 山东省大数据驱动的复杂系统安全控制技术重点实验室(筹)开放基金(SKDK 202002).

详细信息

作者简介:
张韫峰(1996-), 男, 在读硕士, 主要研究方向为智能检测与智能控制.

中图分类号: TP391.41 S979
计量
- 文章访问数: 357
- HTML全文浏览量: 187
- PDF下载量: 399
- 被引次数: 0
出版历程
- 收稿日期: 2020-01-07
- 修回日期: 2020-04-24
- 刊出日期: 2021-03-01

Underwater Sea Cucumber Identification and Localization Method Based on Image Processing

1.
College of Engineering, Ocean University of China, Qingdao 266100, China
2.
College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China

摘要

摘要: 为解决复杂环境下海参识别和定位的难题, 文章提出了一种基于图像处理的海参识别和定位算法。首先, 在图像预处理基础上设计基于模糊增强的融合RGB海参刺和海参主干突出特征算法, 以突出海参目标特征, 通过改进的图像分割方法提取海参轮廓, 利用链表法去伪边缘和形态学轮廓优化实现海参目标的识别。对海参目标的定位分为2种情况: 对形状规则的海参目标通过椭圆一次拟合来初步定位; 对形状不规则的海参目标通过提取海参目标方向特征进而设计基于最小外接矩形方向椭圆二次拟合算法来定位。仿真结果表明该算法可以有效识别和定位海参目标, 判断海参体积大小, 为海参可持续自动捕捞提供了一种有效方法。
- 海参 /
- 图像处理 /
- 识别定位 /
- 方向特征
Abstract: An image processing algorithm for sea cucumber identification and localization is proposed to solve the problem of sea cucumber identification and localization in complex environment. First, based on image preprocessing, a fuzzy enhanced fusion RGB sea cucumber thorn and sea cucumber trunk prominent feature algorithm is designed to highlight sea cucumber target features. The outline of a sea cucumber is extracted using an improved image segmentation method, and the linked list method is used to remove false edges and morphological outline optimization, which is necessary to identify the sea cucumber target. The localization of sea cucumber target can be divided into two cases: a sea cucumber target with a regular shape that is located by one-time ellipse fitting, and a sea cucumber target with an irregular shape that is located by extracting the target direction feature of the sea cucumber and designing a quadratic fitting algorithm based on the least external rectangle direction ellipse. Simulation results reveal that the algorithm can effectively identify and locate sea cucumber target, determine the volume of sea cucumber, and ultimately provide an effective method for sustainable and automatic fishing of sea cucumbers.
- sea cucumber /
- image processing /
- identification and localization /
- direction feature

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参考文献(18)

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