Oil Leak Image Data Analysis Based on Maximum Variance Threshold Method

Xi Zhang; Lei Zhang; Yu Feng Zhang

doi:10.4028/www.scientific.net/AMM.687-691.3564

Paper Titles

The Development and Application of 4G Mobile Communication Technology
p.3547

The Use of Computer Image Processing Technology in the Area of Graphic Design
p.3551

Study on the Technology of Digital Image Processing
p.3555

Human Action Recognition Based on Kinect and MCRF Model
p.3559

Oil Leak Image Data Analysis Based on Maximum Variance Threshold Method
p.3564

A Novel Fault Diagnosis Method Based on Time-Frequency Image Recognition
p.3569

Research on Communication Protocol Agreement Based on Ad Hoc Network
p.3574

Analysis of the Wireless Optical Communication Technology and its Application
p.3579

Analysis of the Communication System SDH Transmission Network Fault and its Maintenance Technology
p.3583

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Oil Leak Image Data Analysis Based on Maximum...

Oil Leak Image Data Analysis Based on Maximum Variance Threshold Method

Abstract:

The oil leak is detected by the computer image recognition technique and the oil leak images are processed by the threshold segmentation and semi-thresholding of the maximum variance threshold method. Through capture of fluorescent images of leakage, the oil leak image information is acquired. The maximum variance threshold method is adopted for image data analysis to compute the dilation area of oil images and achieve the detection of leakage.