Earticle

초록

영어

To overcome the problem in recognition of retina texture with noise, an improved multi scale retina texture recognition algorithm is proposed based on fusion area threshold. Integrated with regional threshold filtering, it is useful to suppress the effect of non-uniform blocks for texture recognition. Also, the nonlinear multi-scale transform can analyze the geometric space coefficient of retinal vessels with multi direction invariant features. The maximum likelihood local mean standard deviation analysis is used for texture parameters estimation and recognition. Accurate identification of texture feature is obtained with the noise reduced greatly. The simulation results show that the algorithm can well characterize the retinal vascular texture, with good performance in different texture feature recognition. With good robustness, the recognition accuracy is improved also.

목차

Abstract
 1. Introduction
 2. Basic Knowledge and Algorithm Principle
  2.1. Non Sub-Sampled Contourlet Transform
  2.2. High Order Cumulant Slice Texture Threshold Equalization Cancellation Algorithm
 3. Multi-Scale Recognition Based on Non-Subsampled Contourlet Transform
 4. Simulation and Result Performance Analysis
 5. Conclusions
 References

키워드

저자

• Zhongsheng Qiu [ Naval Aeronautical and Astronautical University/Department of Traning, Yantai 264001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605