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Erschienen in:
2014 | OriginalPaper | Buchkapitel
The Research of Extraction Algorithm for Target Feature of Chest Bitmap
verfasst von : Tianshi Liu, Ruixiang Liu, Hongwei Wang, Liumei Zhang, Cailing Wang
Erschienen in: Applications and Techniques in Information Security
Verlag: Springer Berlin Heidelberg
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The chest bitmap is the most widely used in live-firing. The target surface information extraction is the chief question need to be solved for automatic target-scoring system. Therefore, this paper proposes a new low-complexity algorithm for target surface feature information extraction according to the characteristics of the chest ring image. Based on the pre-processing for image, background interference of the image is eliminated by using regional feature elimination algorithm. Besides, target’s eye position is determined by employing gray two-way clipping projection, and all of the effective feature information of the target surface is extracted. The result of simulation shows that the target surface information extraction algorithm for chest bitmap is characterized by low-complexity, short time-consuming and high efficiency, and meets the real-time requirement.