Lower layer image mining in forensic medicine on the zadeh-x transformation / 重庆医科大学学报

ABSTRACT

Objective:to offer details as clear as possible to be material evidence for Forensic Medicine from the images which were obtained in bad conditions burying in the strong back and can’t be identified by human vision . Methods:using zadeh-x transformation to mine useful information hiding in the dark back. We implement the zadeh-x transformation by VC++ programming on computer,achieving the lower layer image mining in Forensic medicine pictures whose foreground is different from its background. Results:we have realized the lower layer image mining in pictures burying in black ground,electrophoresis graph,vehicle brand and clothing character. Moreover, we have compared the result with the picture dealing by histogram equipoise. Conclusion:The lower layer image mining in Forensic Medicine has been achieved by VC++ programming in this article. Its result is distinctly better than the result dealing by histogram equipoise. Further more,it can mine some information that histogram equipoise can’t do.