Paper Title:
The Aumr Tiger’s Individual Identification Based on the Tiger Fur’s Texture Characteristic
  Abstract

In order to identify the Amur tiger individual more accurately and conveniently, a new characteristic of Amur tiger is proposed in this paper. The images of the Amur tiger fur’s texture were first processed by computer through the method of image processing technology. After that it was easier to extract the characteristic from the image. In the Amur tiger’s sideways image, the eigenvalue is the ratio of the specified texture’s area in tiger sideways and standard area. The specified texture’s area is formed with the black stripes whose shape is similar to diamond. Standard area is a triangle area and its vertices are the spine’s highest point, abdomen’s lowest point and caudal vertebra’s central point. Experiments show that the characteristic is a unique characteristic of the Amur tiger individual and it can be used to identify the Amur tiger individual.

  Info
Periodical
Edited by
Yanwen Wu
Pages
662-667
DOI
10.4028/www.scientific.net/AMR.267.662
Citation
D. W. Qi, Y. Y. Zhou, X. Yang, "The Aumr Tiger’s Individual Identification Based on the Tiger Fur’s Texture Characteristic", Advanced Materials Research, Vol. 267, pp. 662-667, 2011
Online since
June 2011
Export
Price
$32.00
Share

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

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

Authors: Qian Wen, Xiang Dong Gao
Chapter 3: Mechanical Engineering and Applied Mechanics
Abstract:Metal vapor plume and spatters are the important phenomena in the process of high power disk laser welding, and there exists a close...
330
Authors: Lei Shao, Yi Mu, Peng Guo, Jun Liu, Guo Ling Dong, Hong Li Liu
Chapter 3: Data, Text, Sound, Image, Signal and Video Processing and Technologies
Abstract:Image segmentation is the key step in image recognition,the result of segmentation affects the one of recognition directly.The article...
330
Authors: A.L. Zhiznyakov, D.G. Privezentsev
Chapter 5: Image and Signal Processing, Recognition, Information Processing and Applied Technologies
Abstract:The task of analyzing digital images on the basis of local characteristics of self-similarity is considered in this article. The algorithm of...
704