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Target Extraction of Hand Infrared Trace Images Based on Artificial Targeting Immunotherapy |
FU Dongmei SUN Jing YANG Tao |
(School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China) |
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Abstract Hand infrared trace images can not clearly reflect the original contact contour of hand, which belong to a special kind of infrared blurred images. Inspired by biological immune, an artificial targeting immunotherapy is proposed to extract the hand target. Firstly, according to the feature of temporal correlation, the innate immune recognition is designed to preliminary segmentation. Secondly, according to the immune presentation, a concentric circles template based on thermal diffusion is defined to extract features. Then adaptive immune recognition is applied to the fuzzy pixels set based on the obtained template features. Finally, for the detected finger valley and fingertips lesions, targeted therapy is implemented to keep the shape of the hand. The proposed algorithm is compared with watershed method, SOM network and recent research achievements. Experimental results show that the proposed algorithm exhibits better extraction performance, meanwhile the application time of thermal trace images is extended.
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Received: 01 April 2017
Published: 04 December 2017
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Fund:The National Natural Science Foundation of China (61272358), Beijing Key Discipline Development Program (XK100080537) |
Corresponding Authors:
FU Dongmei
E-mail: fdm2003@163.com
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