Application of Fuzzy Closeness in Siberian Tiger Skin Texture Recognition


Article Preview

In order to improve the accuracy of tiger skin texture recognition, a skin texture identification method based on fuzzy closeness is put forward in this paper: four skin texture stripes extracted from a tiger texture image are selected as a research object. The image treatment process is: firstly, connected their endpoints to form three quadrilaterals, then regarded the quadrilateral area, bottom length, and left bottom corner features as the characteristics index of the object, the fuzzy closeness degree derived from the characteristics is compared with the standard models, and the final closeness degree is obtained. Experimental results show that this method can improve the accuracy of tiger skin texture recognition, and identify the tiger skin texture effectively to achieve individual identification of tigers finally.



Advanced Materials Research (Volumes 424-425)

Edited by:

Helen Zhang and David Jin






J. Chen et al., "Application of Fuzzy Closeness in Siberian Tiger Skin Texture Recognition", Advanced Materials Research, Vols. 424-425, pp. 415-419, 2012

Online since:

January 2012




[1] Peng Zhang: Study on Northeast Tiger Skin Texture Extraction and Recognition Based on BP Network, Northeast Forestry University, in Chinese (2008).

[2] Qiujing Xu, DaWei Qi: Parameters for Texture Feature of Panthera tigris altaica Based on Gray Level Co-occurrence Matrix. J. Journal of Northeast Forestry University. Vol. 37. pp.125-129, in Chinese (2009).

[3] Jijian Xie, Chengping Liu: Fuzzy Mathematics and Application. Huazhong University of Science and Technology Press, Wuhan(2008).

[4] Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing Using MATLAB. Publishing House of Electronics Industry , Beijing (2005).

[5] Hongji Li : Fuzzy Mathematics Foundation and Its Application . Science press, Beijing (2005).

[6] Hongwei Yue: Geometric Fuzzy Similarity Scale. J. Journal of North China Institute of Water Conservancy and Hydroelectric Power (2007).

In order to see related information, you need to Login.