Improved Non-Linear Polynomial Filters for Contrast Enhancement of Breast Tumors

被引：2

作者：

Bhateja, Vikrant ^{[1
,2
]}

Misra, Mukul ^{[2
]}

Urooj, Shabana ^{[3
]}

Lay-Ekuakille, Aime ^{[4
]}

机构：

[1] SRMGPC, Dept Elect & Commun Engn, Lucknow 227105, Uttar Pradesh, India

[2] Shri Ramswaroop Mem Univ, Fac Elect & Commun Engn, Deva Rd, Lucknow, Uttar Pradesh, India

[3] Gautam Buddha Univ, Sch Engn, Dept Elect Engn, Greater Noida, Uttar Pradesh, India

[4] Univ Salento, Dept Innovat Engn, Lecce, Italy

来源：

PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS: VOL 2 | 2016年 / 51卷

关键词：

Background tissues; Contrast; Mammograms and NPF; WAVELET; FRAMEWORK;

D O I：

10.1007/978-3-319-30927-9_45

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Non-Linear Polynomial Filters (NPF) consists of a framework of weighted coefficients of low-pass and high pass filters. This paper explores the applicability of NPF for the contrast enhancement of breast tumors in mammograms. NPF algorithm in the present work has been improved to provide controlled background suppression during the mammogram enhancement. This is because, in the process to control overshoots and visualization of tumor margins; the uncontrolled background suppression may lead to loss of finer details in the vicinity of the lesion region. Simulation results have shown that the response of the proposed NPF has been reasonably good on mammograms containing tumors embedded in different types of background tissues.

引用

页码：461 / 468

页数：8

共 50 条

[1] Non-linear polynomial filters for edge enhancement of mammogram lesions
Bhateja, Vikrant
Misra, Mukul
Urooj, Shabana
[J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, 129 : 125 - 134
[2] Image local contrast enhancement using adaptive non-linear filters
Arici, Tarik
Altunbasak, Yucel
[J]. 2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 2881 - +
[3] Linear and Non-linear Contrast Enhancement Image
Al-Amri, Salem Saleh
Kalyankar, N. V.
Khamitkar, S. D.
[J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2010, 10 (02): : 139 - 143
[4] Insights Into Deep Non-Linear Filters for Improved Multi-Channel Speech Enhancement
Tesch, Kristina
Gerkmann, Timo
[J]. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 31 : 563 - 575
[5] Contrast Enhancement and Detailed Enhancement Method Based on Non-linear Filtering
Goto, Tomio
Ikeyama, Miho
Hirano, Satoshi
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2018,
[6] SUPER-RESOLUTION THROUGH NON-LINEAR ENHANCEMENT FILTERS
Sakurai, Masaru
Sakuta, Yasuhiro
Watanabe, Masashi
Goto, Tomio
Hirano, Satoshi
[J]. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 2013, : 854 - 858
[7] A non-linear connectionist approach to performance enhancement of correlation filters
Brucks, T
Riddle, J
Van Maasdam, P
[J]. AUTOMATIC TARGET RECOGNITION XIII, 2003, 5094 : 73 - 80
[8] An efficient non-linear algorithm for contrast enhancement of infrared image
Zhang, CJ
Yang, F
Wang, XD
Zhang, HR
[J]. Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 4946 - 4951
[9] An improved non-linear image enhancement method for video coding
Wang, Lung-Jen
Huang, Ya-Chun
[J]. CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS, 2008, : 79 - 84
[10] Investigating a CMUT's Ability to Achieve Non-linear Contrast Enhancement
Oygard, Sigrid H.
Ommen, Martin L.
Engholm, Mathias
Schou, Mikkel
Diederichsen, Soren E.
Thomsen, Erik, V
Stuart, Matthias Bo
Jensen, Jorgen Arendt
[J]. PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,

← 1 2 3 4 5 →