Hand Target Extraction of Thermal Trace Image Using Feature and Manifold Inspired by Coordination of Immune

In this paper, the immune mechanism is used to solve the problem of fuzzy target extraction in infrared thermal trace images. First, imitating the innate immunity, the maximum variance method was used to initially segment the image to obtain the decided target and background region and the undecided fuzzy region of the target. Then, inspired by the antigen-presenting mechanism, this paper constructed the feature set for each pixel in the image, which contained the gray information, the temperature information with their statistical values. Next, in order to express the characteristic changes of the antigen invading normal cells, the paper adopted the local preserving algorithm to do the mapping to obtain new feature states. Finally, in view of effector T-cell mechanism in adaptive immunity, the paper used the new feature states to measure the distances between fuzzy region and the target and background region, so as to decide the classification of the pixels of the fuzzy region. Through this process, the extraction of the fuzzy target in the thermal trace image is completed.