Three-level gray-scale images segmentation using non-extensive entropy

被引：4

作者：

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

Galhoud, M. ^{[2
]}

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

机构：

[1] Higher Ind Inst, Misurata Libya, Libya

[2] A1 Fateh Univ, Ece Dept, Tripoli, Libya

[3] Univ Windsor, Windsor, ON N9B 3P4, Canada

来源：

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

关键词：

D O I：

10.1109/CGIV.2007.83

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The segmentation of images into meaningful and homogenous regions is a crucial step in many image analysis applications. In this paper, we present a three-level thresholding method for image segmentation. The method is based on maximizing non-extensive entropy. After segmentation, the output image will consist of three homogenous regions, namely, dark, gray and white. The threshold value for each region is decided by maximizing an extended form of Tsallis entropy. To improve the performance of the proposed algorithm, an efficient and computationally fast method for initializing the search for maximum entropy is also presented. Results obtained using the proposed algorithm are compared with those obtained using Shannon entropy.

引用

页码：304 / +

页数：2

共 50 条

[41] Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation [J].

Parvati, K. ;

Rao, B. S. Prakasa ;

Das, M. Mariya .

DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2008, 2008

[42] Classification of Fractal Signals Using Two-Parameter Non-Extensive Wavelet Entropy [J].

Cesar Ramirez-Pacheco, Julio ;

Antonio Trejo-Sanchez, Joel ;

Cortez-Gonzalez, Joaquin ;

Palacio, Ramon R. .

ENTROPY, 2017, 19 (05)

[43] Automatic Defect Detection for Mango Fruit Using Non-Extensive Entropy with Gaussian Gain [J].

Tiemtud, Kotchakorn ;

Saprasert, Pornpimon ;

Tormo, Thanikarn ;

Chaturantabut, Saifon .

THAI JOURNAL OF MATHEMATICS, 2020, :339-349

[44] Fabrication of three-dimensional microstructure using maskless gray-scale lithography [J].

Totsu, Kentaro ;

Fujishiro, Kenta ;

Tanaka, Shuji ;

Esashi, Masayoshi .

SENSORS AND ACTUATORS A-PHYSICAL, 2006, 130 :387-392

[45] Computational Modeling of Non-Gaussian Option Price Using Non-extensive Tsallis' Entropy Framework [J].

Nayak, Gangadhar ;

Singh, Amit Kumar ;

Senapati, Dilip .

COMPUTATIONAL ECONOMICS, 2021, 57 (04) :1353-1371

[46] Computational Modeling of Non-Gaussian Option Price Using Non-extensive Tsallis’ Entropy Framework [J].

Gangadhar Nayak ;

Amit Kumar Singh ;

Dilip Senapati .

Computational Economics, 2021, 57 :1353-1371

[47] FEATURE EXTRACTION AND CLASSIFICATION OF GRAY-SCALE IMAGES OF BRAIN TUMOR USING DEEP LEARNING [J].

Pranitha, Kondra ;

Vurukonda, Naresh .

SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (02) :1005-1017

[48] Fast and Direct Polygonization for Gray-Scale Images Using Digital Straightness and Exponential Averaging [J].

Pratihar, Sanjoy ;

Bhowmick, Partha .

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2016, 16 (02)

[49] Estimation of noise in Gray-Scale and colored images using Median Absolute Deviation (MAD) [J].

Khalil, Hassan H. ;

Rahmat, Rahmita O. K. ;

Mahmoud, Waleed A. .

GEOMETRIC MODELING & IMAGING: MODERN TECHNIQUES AND APPLICATIONS, 2008, :92-+

[50] Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm [J].

Tao, WB ;

Tian, JW ;

Liu, J .

PATTERN RECOGNITION LETTERS, 2003, 24 (16) :3069-3078

← 1 2 3 4 5 →