一种新的自适应图像模糊增强算法

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A novel adaptive image fuzzy enhancement algorithm

WANG Bao-ping1;LIU Huai-liang2;LI Nan-jing1;XIE Wei-xin3

(1. Northwest Polytechic University, Defence Science and Technology Academe, Xi′an 710072， China; 2. School of Economic Management, Xidian Univ., Xi′an 710071， China; 3. Inst. of Information Engineering, Shenzhen Univ., Shenzhen 518060， China)

Received:1900-01-01 Revised:1900-01-01 Online:2005-04-20 Published:2005-04-20

Abstract

Abstract: The no-linearity transform in image enhancement is studied in detail, and its drawbacks are found, on the basis of which a novel image fuzzy enhancement arithmetic operator is proposed, which not only has a closing character and an automatic-adjusting character, but also has a transplant character to other enhancement arithmetic. In addition, by quoting fuzzy entropy, the selection of the threshold value in image enhancement is beneficial to a certain extent. We use our new algorithm to extract image edges, with a better result than that of the now-available image fuzzy enhancement method.

Key words: image enhancement, edge detection, membership function

CLC Number:

TP391.41

WANG Bao-ping1;LIU Huai-liang2;LI Nan-jing1;XIE Wei-xin3.

A novel adaptive image fuzzy enhancement algorithm

[J].J4, 2005, 32(2): 307-313.

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A novel adaptive image fuzzy enhancement algorithm

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