吉林大学学报（信息科学版）2024，Vol.42Issue(4)：700-709,10.
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
摘要
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分类
信息技术与安全科学引用本文复制引用
赵娅,成璐璐,白玉杰,杨海序..改进多方向Sobel算子的剩余油边缘检测方法[J].吉林大学学报（信息科学版）,2024,42(4):700-709,10.基金项目
国家自然科学青年基金资助项目(52204037) （52204037）
黑龙江省自然科学基金资助项目(LH2022F006) （LH2022F006）
