Improved co-occurrence matrix as a feature space for relative entropy-based image thresholding

被引：7

作者：

El-Feghi, I. ^{[1
]}

Adem, N. ^{[2
]}

Sid-Ahmed, M. A. ^{[3
]}

Ahmadi, M. ^{[3
]}

机构：

[1] Higher Ind Inst, Misurata, Libya

[2] E1 Fath Univ, Tripoli, Libya

[3] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada

来源：

COMPUTER GRAPHICS, IMAGING AND VISUALISATION: NEW ADVANCES | 2007年

关键词：

image thresholding; co-occurrence matrix; relative entropy;

D O I：

10.1109/CGIV.2007.49

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, a thresholding technique suitable for noisy background images is proposed. The proposed algorithm uses an improved co-occurrence matrix as feature spaces. The threshold value is obtained by maximizing the relative entropy. Experimental results show that the proposed method outperforms other thresholding techniques especially on the presences of noise in the background of the input image.

引用

页码：314 / +

页数：2

共 8 条

[1]

CHUNG C, 1994, PATTERN RECOGN, V27, P1275

[2]

HUG LK, 1995, PATTERN RECOGN, V28, P41

[3] A NEW METHOD FOR GREY-LEVEL PICTURE THRESHOLDING USING THE ENTROPY OF THE HISTOGRAM [J].

PUN, T .

SIGNAL PROCESSING, 1980, 2 (03) :223-237

[4]

SAHA P, 2001, IEEE T PAMI, V13

[5] A SURVEY OF THRESHOLDING TECHNIQUES [J].

SAHOO, PK ;

SOLTANI, S ;

WONG, AKC ;

CHEN, YC .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1988, 41 (02) :233-260

[6] MOMENT-PRESERVING THRESHOLDING - A NEW APPROACH [J].

TSAI, WH .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1985, 29 (03) :377-393

[7] A GRAY-LEVEL THRESHOLD SELECTION METHOD BASED ON MAXIMUM-ENTROPY PRINCIPLE [J].

WONG, AKC ;

SAHOO, PK .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1989, 19 (04) :866-871

[8]

ZHU H, 2002, P IEEE 2002 INT C CO, V1, P634

← 1 →