Information granules in image histogram analysis

被引：13
作者：
Wieclawek, Wojciech [1 ]
机构：
[1] Silesian Tech Univ, Fac Biomed Engn, Ul Roosevelta 40, PL-41800 Zabrze, Poland
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2018年 / 65卷
关键词：
Granular computing; Justifiable granular computing; Image histogram; Median; Weighted median; Histogram analysis; Cumulative histogram; Histogram equalization; Image enhancement; Intensification of gray levels; Image processing; Computed tomography; FUNDAMENTALS; PRINCIPLE;
D O I：
10.1016/j.compmedimag.2017.05.003
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A concept of granular computing employed in intensity-based image enhancement is discussed. First, a weighted granular computing idea is introduced. Then, the implementation of this term in the image processing area is presented. Finally, multidimensional granular histogram analysis is introduced. The proposed approach is dedicated to digital images, especially to medical images acquired by Computed Tomography (CT). As the histogram equalization approach, this method is based on image histogram analysis. Yet, unlike the histogram equalization technique, it works on a selected range of the pixel intensity and is controlled by two parameters. Performance is tested on anonymous clinical CT series. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：129 / 141
页数：13
相关论文
共 50 条
[21]   Steganalysis of Digital Image Histogram [J].
Zhang Dinghui ;
Wang Shaobin ;
Chen Wenjun ;
Li Xin ;
Yang Yunfei .
ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, :645-647
[22]   REMOTE SENSING IMAGE ENHANCEMENT BASED ON WAVELET ANALYSIS AND HISTOGRAM SPECIFICATION [J].
Xie, Liang ;
Wang, Guoyin ;
Zhang, Xuerui ;
Xiao, Bin ;
Zhou, Botian ;
Zhang, Fan .
2014 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2014, :55-59
[23]   Medical Image Enhancement Using Modified Color Histogram Equalization [J].
Hsu, Wei-Yen ;
Chou, Ching-Yao .
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2015, 35 (05) :580-584
[24]   A Combination of Variational Mode Decomposition and Histogram Equalization for Image Enhancement [J].
Satapathy, L. M. ;
Tripathy, R. K. ;
Das, P. .
NATIONAL ACADEMY SCIENCE LETTERS-INDIA, 2019, 42 (04) :333-336
[25]   Medical Image Enhancement Using Modified Color Histogram Equalization [J].
Wei-Yen Hsu ;
Ching-Yao Chou .
Journal of Medical and Biological Engineering, 2015, 35 :580-584
[26]   Histogram Equalization Based Cable Tunnel Image Defogging Method [J].
Li, Qian ;
Chen, Yuechao ;
Feng, Junguo ;
Liu, Baoan ;
Sun, Xiaoyun ;
Cao, Yuchao .
2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, :420-424
[27]   REVIEW OF VARIOUS HISTOGRAM BASED MEDICAL IMAGE ENHANCEMENT TECHNIQUES [J].
Vidyasaraswathi, H. N. ;
Hanumantharaju, M. C. .
ICARCSET'15: PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN COMPUTER SCIENCE ENGINEERING & TECHNOLOGY (ICARCSET - 2015), 2015,
[28]   Adaptive image contrast enhancement using generalizations of histogram equalization [J].
Stark, JA .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (05) :889-896
[29]   Dual Histogram Equalization Algorithm Based on Adaptive Image Correction [J].
Ye, Bowen ;
Jin, Sun ;
Li, Bing ;
Yan, Shuaiyu ;
Zhang, Deng .
APPLIED SCIENCES-BASEL, 2023, 13 (19)
[30]   A Combination of Variational Mode Decomposition and Histogram Equalization for Image Enhancement [J].
L. M. Satapathy ;
R. K. Tripathy ;
P. Das .
National Academy Science Letters, 2019, 42 :333-336
12345