摘要： 分形维数是描述图像复杂性的一种重要测度,广泛应用于图像特征提取及图像分类、分割和检索等方面。多种黑白图像和灰度图像的分形维数计算方法已被提出,但其中很少有适用于彩色图像的分形维数计算方法。把计算灰度图像分形维数的差分盒维法扩展到欧氏五维空间,提出了一种简单且易实现的计算彩色图像分形维数的方法。实验结果表明,提出的方法能够捕捉到彩色图像纹理的复杂性,在识别彩色图像粗糙度变化和计算精度方面优于其它算法。
| [1] 黄仁,胡敏.综合颜色空间特征和纹理特征的图像检索[J].计算机科学,2014,1(6):118-121 Huang Ren,Hu Min.Content-based image retrieval using color position and texture fused features[J].Computer Science,2014,1(6):118-121 [2] Pentland A.Fractal based description of nature scenes [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1984,6(6):661-674. [3] Peleg S,Naor J,Hartley R,et al.Multiple resolution texture analysis and classification [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1984,6(4):518-523 [4] Gangepain J,Roques-Carmes C.Fractal approach to two dimensional and three dimensional surface roughness [J].Wear,1986,9:119-126 [5] Backes R,Casanova D,Bruno M.Color texture analysis based on fractal descriptors [J].Pattern Recognition,2012,5:984-1992 [6] Sarker N,Chaudhuri B.An efficient differential box-counting approach to compute fractal dimension of image [J].IEEE Transactions on Systems,Man,and Cybernetics,1994,4:115-120 [7] 李传龙,李颖,于水明.一种新的网格重叠差分盒分形模型[J].计算机科学,2011,8(1):282-285 Li Chuan-long,Li Ying,Yu Shui-ming.New fractal model of grid overlapping differential box-counting[J].Computer Science,2011,8(1):282-285 [8] Tsompanaki I,Manousaki G,Manios G,et al.Use of color texture in determining the nature of melanocytic skin lesions—A qualitative and quantitative approach [J].Comput.Biol.Med.,2006,36:416-427 [9] http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html [10] Ivanovici M,Richard N.Fractal Dimension of Color Fractal Images [J].IEEE Transctions on images processing,2011,20(1):227-235 [11] Zhang H,Hu Y,Lan X,et al.Fuzzy fractal dimension of complex networks [J].Applied Soft Computing,2014,25(11):514-518 |
| No related articles found! |
|
||
首页