Fuzzy C-means Clustering Based Digital Camouflage Pattern Design and Its Evaluation

摘要：

Optical camouflage is one of the significant ways to protect military weapons in modern wars. Effective camouflage design can largely reduce the conspicuity of the fixed targets in a real battlefield. In this paper, an innovative digital camouflage pattern design based on fuzzy c-means clustering and its evaluation is presented to imitate the background both in color and texture. In this new method, histogram quantization and matching between the real background and I military standard colors is first carried out in HSV color space. Then camouflage pattern is abstained by a combination of the fuzzy c-means clustering and morphological operations, such as open operation and close operation. And the camouflage scene is composed with tank using new digital camouflage pattern. Finally, several common edge detectors are utilized to give an objective evaluation to the new digital camouflage pattern which is painting on the target in a composed camouflage scene. Assessment results also show the effectiveness and potency of the new proposed method.

关键词： digital camouflage pattern Fleck fuzzy c-means morphological operations

作者: Peng Bian Yi Jin Nai-ren Zhang

作者单位: School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1017-1020

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）