吉林大学学报(信息科学版) ›› 2024, Vol. 42 ›› Issue (4): 700-709.

• • 上一篇    下一篇

改进多方向 Sobel 算子的剩余油边缘检测方法

1a, 成璐璐1a, 白玉杰1b, 杨海序2   

  1. 1. 东北石油大学 a. 计算机与信息技术学院; b. 石油工程学院, 黑龙江 大庆 163318; 2. 广电运通金融电子股份有限公司 智能金融研究院, 广州 510663
  • 收稿日期:2023-05-31 出版日期:2024-07-22 发布日期:2024-07-22
  • 作者简介: 赵娅(1980— ), 女, 河南漯河人, 东北石油大学副教授, 硕士生导师, 主要从事智能计算与图像处理研究, ( Tel) 86- 13945606773( E-mail) lindaya11@ 163. com。
  • 基金资助:

    国家自然科学青年基金资助项目(52204037); 黑龙江省自然科学基金资助项目( LH2022F006)

Detection Method of Residual Oil Edge with Improved Multi-Directional Sobel Operator

ZHAO Ya1a , CHENG Lulu1a, BAI Yujie1b, YANG Haixu2   

  1. 1a. School of Computer and Information Technology; 1b. School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China; 2. Intelligent Finance Research Institute, Radio and Television Yuntong Financial Electronics Company Limited, Guangzhou 510663, China
  • Received:2023-05-31 Online:2024-07-22 Published:2024-07-22

摘要:

为进一步提高剩余油边缘检测的质量和精度, 提出一种改进多方向 Sobel 算子的剩余油边缘检测方法。该方法通过改进双边滤波方法去除微观剩余油分布图像噪声, 实现保边去噪的目的; 结合 Otsu 算法使其能自适应获得微观剩余油图像的最佳阈值; 在改进的 4 个方向上依次使用幅度为 3×3 的 Sobel 算子计算剩余油图像梯度的幅值和方向; 最后利用非极大值抑制算法过滤伪边缘像素点, 从而得到最终的剩余油边缘检测图像。实验结果表明, 该方法能在去除微观剩余油图像噪声的同时, 精确检测出微观剩余油分布图像中的剩余油边缘信息。

关键词: 剩余油, 边缘检测, 双边滤波, Otsu 算法, Sobel 算子

Abstract: In order to improve the quality and accuracy of residual oil edge detection, a method of residual oil edge detection with improved multi-direction Sobel operator is proposed. The improved bilateral filtering method is used to remove the image noise of the microscopic residual oil distribution, so as to achieve the purpose of edge preserving and denoising. Combined with Otsu algorithm, the optimal threshold of the residual oil image can be obtained adaptively. The amplitude and direction of the gradient of the remaining oil image are calculated by using the Sobel operator with the amplitude of 3×3 in the four improved directions. Non-maximum suppression algorithm is used to filter out the pseudo-edge pixels to obtain the final remaining oil edge detection image. The experimental results show that the proposed method can accurately detect the information of residual oil edge in the microscopic residual oil distribution image while removing the noise of the image.

Key words: residual oil, edge detection, bilateral filtering, Otsu algorithm, Sobel operator

中图分类号: 

  • TP391. 41