摘要
本文研究了分割自然彩色图像的一种聚类方法.提出CIE(L,a,b)均匀彩色坐标系,用色空间内的圆柱面判决体元检测图像聚类,然后利用fisher线性判别方法将彩色聚类投影于直线上,取一维阈值完成聚类分离.
This paper studies a efficient clustering method for segmenting the color images of natural scenes. H
It detects image clusters in some circular cylindrical decition elements of the color space in the proposed CIE(L*,a*,b*) uniform color coordinate system. The Fisher linear discriminant method is then used to project simultaneously the detected color clusters onto a line for 1-D thresholding. Final, cluster isolation is completed by 1-D threshold.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1995年第A01期133-138,共6页
Pattern Recognition and Artificial Intelligence
