Application of Fuzzy Closeness in Siberian Tiger Skin Texture Recognition
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.
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