Color image segmentation based on adaptive local thresholds

被引：95
|
作者：
Navon, E [1 ]
Miller, O [1 ]
Averbuch, A [1 ]
机构：
[1] Tel Aviv Univ, Sch Comp Sci, IL-69978 Tel Aviv, Israel
来源：
IMAGE AND VISION COMPUTING | 2005年 / 23卷 / 01期
关键词：
local thresholds; image segmentation; homogeneity; splitting; merging;
D O I：
10.1016/j.imavis.2004.05.011
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The goal of still color image segmentation is to divide the image into homogeneous regions. Object extraction, object recognition and object-based compression are typical applications that use still segmentation as a low-level image processing. In this paper, we present a new method for color image segmentation. The proposed algorithm divides the image into homogeneous regions by local thresholds. The number of thresholds and their values are adaptively derived by an automatic process, where local information is taken into consideration. First, the watershed algorithm is applied. Its results are used as an initialization for the next step, which is iterative merging process. During the iterative process, regions are merged and local thresholds are derived. The thresholds are determined one-by-one at different times during the merging process. Every threshold is calculated by local information on any region and its surroundings. Any statistical information on the input images is not given. The algorithm is found to be reliable and robust to different kind of images. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：69 / 85
页数：17
相关论文
共 50 条
  • [31] A Novel Color-Texture Descriptor Based on Local Histograms for Image Segmentation
    Liu, Yang
    Liu, Guangda
    Liu, Changying
    Sun, Changming
    IEEE ACCESS, 2019, 7 : 160683 - 160695
  • [32] Extracting Color Using Adaptive Segmentation for Image Retrieval
    Riaz, Muhammad
    Pankoo, Kim
    Jongan, Park
    INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS, 2009, : 925 - +
  • [33] Image segmentation by spatially adaptive color and texture features
    Chen, JQ
    Pappas, TN
    Mojsilovic, A
    Rogowitz, BE
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS, 2003, : 1005 - 1008
  • [34] Enhancement Dark channel Algorithm of Color Fog Image Based on the local segmentation
    Gao, Yin
    Yun, Li-jun
    Shi, Jun-sheng
    Xu, Ling-zhang
    SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS 2014, PT II, 2015, 9522
  • [35] Adaptive perceptual color-texture image segmentation
    Chen, JQ
    Pappas, TN
    Mojsilovic, A
    Rogowitz, BE
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2005, 14 (10) : 1524 - 1536
  • [36] Color image restoration using explicit local segmentation
    Phu, MQ
    Tischer, P
    Wu, HR
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2005, 3681 : 589 - 595
  • [37] Color image segmentation based on neutrosophy
    Zhang, Ling
    Zhang, Ming
    Cheng, Heng-Da
    OPTICAL ENGINEERING, 2012, 51 (03)
  • [38] Image Segmentation Based on Color Dissimilarity
    Karma, I. Gede Made
    Putra, I. Ketut Gede Darma
    Sudarma, Made
    Linawati, Linawati
    INFORMATICA-AN INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS, 2022, 46 (05): : 1 - 10
  • [39] Interactive segmentation for color image based on color saliency
    1600, Institute of Electrical Engineers of Japan (133):
  • [40] A Texture and Color Based Method for Color Image Segmentation
    Yin Haiming
    Lou Xiaoyan
    Qiu Mangxian
    Yue Guangxue
    PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON CYBERWORLDS, 2008, : 714 - 717
12345