Multi-level Thresholding Algorithm For Color Image Segmentation

被引：10
|
作者：
Nimbarte, Nita M. [1 ]
Mushrif, Milind M. [1 ]
机构：
[1] Yeshwantrao Chavan Coll Engg, Dept Elect & Telecommun, Nagpur, Maharashtra, India
来源：
2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS: ICCEA 2010, PROCEEDINGS, VOL 2 | 2010年
关键词：
Multilevel-thresholding; Color segmentation; region merge; JND criteria;
D O I：
10.1109/ICCEA.2010.198
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we present an effective multilevel threshold selection method of color image segmentation based on minimum class variance thresholding (MCVT) and OTSU method. The input RGB color image is segmented into regions and proceeds to the region merge using JND (Just Noticeable Difference) of human visual property. The result shows that with simple yet very effective JND merge criteria, the proposed algorithm is capable of generating region representations. After analyzing these two results, Otsu method is better than MCVT method.
引用
收藏
页码：231 / 233
页数：3
相关论文
共 50 条
  • [1] Improved artificial rabbits algorithm for global optimization and multi-level thresholding color image segmentation
    Heming Jia
    Yuanyuan Su
    Honghua Rao
    Muzi Liang
    Laith Abualigah
    Chibiao Liu
    Xiaoguo Chen
    [J]. Artificial Intelligence Review, 58 (2)
  • [2] A multi-level thresholding image segmentation algorithm based on equilibrium optimizer
    Pei Hu
    Yibo Han
    Zheng Zhang
    Shu-Chuan Chu
    Jeng-Shyang Pan
    [J]. Scientific Reports, 14 (1)
  • [3] Bee Foraging Algorithm Based Multi-Level Thresholding For Image Segmentation
    Zhang, Zhicheng
    Yin, Jianqin
    [J]. IEEE ACCESS, 2020, 8 : 16269 - 16280
  • [4] Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation
    Abualigah, Laith
    Al-Okbi, Nada Khalil
    Awwad, Emad Mahrous
    Sharaf, Mohamed
    Daoud, Mohammad Sh.
    [J]. EVOLVING SYSTEMS, 2024, 15 (04) : 1399 - 1426
  • [5] Color image segmentation using multi-objective swarm optimizer and multi-level histogram thresholding
    Naderi Boldaji, Mohammad Reza
    Hosseini Semnani, Samaneh
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (21) : 30647 - 30661
  • [6] A multi-level thresholding image segmentation based on an improved artificial bee colony algorithm
    Gao, Hao
    Fu, Zheng
    Pun, Chi-Man
    Hu, Haidong
    Lan, Rushi
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2018, 70 : 931 - 938
  • [7] Image Segmentation by Multi-Level Thresholding Based on Fuzzy Entropy and Genetic Algorithm in Cloud
    Muppidi, Mohan
    Rad, Paul
    Agaian, Sos S.
    Jamshidi, Mo
    [J]. 2015 10TH SYSTEM OF SYSTEMS ENGINEERING CONFERENCE (SOSE), 2015, : 492 - 497
  • [8] Color image segmentation using multi-objective swarm optimizer and multi-level histogram thresholding
    Mohammad Reza Naderi Boldaji
    Samaneh Hosseini Semnani
    [J]. Multimedia Tools and Applications, 2022, 81 : 30647 - 30661
  • [9] Biofilm Image Segmentation Using Optimal Multi-Level Thresholding
    Rojas, Dario
    Rueda, Luis
    Ngom, Alioune
    Urrutia, Homero
    Carcamo, Gerardo
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2009, : 185 - +
  • [10] Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation
    Rojas, Dario
    Rueda, Luis
    Urrutia, Homero
    Ngom, Alioune
    [J]. PATTERN RECOGNITION IN BIOINFORMATICS, PROCEEDINGS, 2009, 5780 : 307 - +
12345