Digital Image Processing Algorithms to Determining an Objects True Gray Levels in X-ray Forward Scatter Images
In material classification,distilling eigenvalue will use the objects true gray levels. The problem is objects in a bag almost always overlap with others. Being able to identify the object of interest and remove the overlap effects becomes the key issue that needs to be solved. First,the paper took an n-objectoverlapping problem simplified to a two-objectoverlapping problem. So the research focus turned to computing true gray levels for two-object-overlapping problem. It was necessary to develop models that can be used to remove the background object overlapping effects. The author took forward scatter images for example,discussed the development of the mathematical model for removing the overlapping effects,solved the model parameter by experiment and analyzed model error. This method has been used in x-ray security inspection equipment of DT Inspection equipment limited company. The results of application show that the algorithm is feasible. This is a unique contribution to the explosive detection community.
true gray levels image processing security inspection x-ray detect forward scatter image
SUN Lina JIAO Hong-nan WANG Tian-xue
School of Mechanical Engineering and Automation,Northeastern University,Shenyang 110004,China
国际会议
沈阳
英文
318-324
2011-05-22（万方平台首次上网日期，不代表论文的发表时间）