摘要
提出一种彩色目标高维检测和空间分集检测技术,它利用 RGB 颜色的均值趋同性校正色偏,减少光照强度和光源颜色对目标检测的影响;采用检测门限自适应变化的彩色目标高维检测算法检测出疑似目标,进一步避免了传统方法受环境光照影响大的缺点;使用基于区域关联性的彩色信号自适应空间分集检测技术,提高目标检测效果。试验证明,检测并降噪以后,97.5%以上的图像的提取结果可以达到 30db 以上的信噪比。
A technique with color target multidimensional detection and spatial clustering detection is proposed. Color deviation is corrected with convergence in mean of RGB color, thus the influence of light illuminance and light source color on target detection can be reduced. The suspected targets can be detected by multidimensional color target detection algorithm and the fault of traditional method susceptibility to environmental light illumination can be avoided. An adaptive color signal spatial clustering technique based on area correlation is used and thus the target detection effect is improved. The tests demonstrate that 97.5% image detection result can attain more than 30 dB SNR by this method.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2005年第3期66-69,共4页
Opto-Electronic Engineering
基金
国家自然科学基金支持项目(10376005)
关键词
彩色目标检测
图像分割
自适应检测
空间分集检测
Color target detection
Image segmentation
Adaptive detection
Spatial clustering detection
