改进多方向Sobel算子的剩余油边缘检测方法
Detection Method of Residual Oil Edge with Improved Multi-Directional Sobel Operator
赵娅 1成璐璐 1白玉杰 2杨海序3
作者信息
- 1. 东北石油大学计算机与信息技术学院,黑龙江大庆 163318
- 2. 东北石油大学石油工程学院,黑龙江大庆 163318
- 3. 广电运通金融电子股份有限公司智能金融研究院,广州 510663
- 折叠
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.
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 x 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.
关键词
剩余油/边缘检测/双边滤波/Otsu算法/Sobel算子Key words
residual oil/edge detection/bilateral filtering/Otsu algorithm/Sobel operator引用本文复制引用
基金项目
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)
出版年
2024
国家科技期刊平台
NSTL
万方数据