Saliency map based active contour method for automatic image segmentation

被引：0

作者：

Yang, Changcai ^{[1
]}

Zheng, Xinyi ^{[2
]}

Qi, Shengxiang ^{[1
]}

Tian, Jinwen ^{[1
]}

Zheng, Sheng ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, Lab Multispectral Informat Proc Technol, Wuhan 430074, Peoples R China

[2] China Three Gorges Univ, Elect Engn & Renewable Energy Sch, Yichang 443002, Peoples R China

[3] China Three Gorges Univ, Inst Intelligent Vision Image Informat, Coll Sci, Yichang 443002, Peoples R China

来源：

6TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: OPTICAL SYSTEM TECHNOLOGIES FOR MANUFACTURING AND TESTING | 2012年 / 8420卷

基金：

中国国家自然科学基金;

关键词：

Image segmentation; active contour; saliency map; initial level set function;

D O I：

10.1117/12.974347

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, we present a novel automatic image segmentation method, which combines the active contour method and the saliency map method. The saliency map which is obtained by inversing the spectral residual of the image brings a priori knowledge to bear on the image segmentation. The initial level set function is constructed from saliency map. In this way, an automatic initialization of the level set evolution can be obtained. This method can minimize the iterations of the level set evolution. The efficiency and accuracy of the method are demonstrated by the experiments on the synthetic and real images.

引用

页数：6

共 50 条

[1] Image segmentation for defect detection based on level set active contour combined with saliency map
Ben Gharsallah, Mohamed
Ben Braiek, Ezzedine
[J]. 2015 16TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2015, : 388 - 392
[2] Active contour model for image segmentation based on Retinex correction and saliency
Liu, Dong-Me
Chang, Fa-Liang
[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 27 (07): : 1593 - 1600
[3] Fast Automatic Saliency Map Driven Geometric Active Contour Model for Color Object Segmentation
Nguyen Tran Lan Anh
Vo Quang Nhat
Elyor, Kodirov
Kim, Soo-Hyung
Lee, Guee-Sang
[J]. 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 2557 - 2560
[4] Saliency-based localising active contour for automatic natural object segmentation
Gao, Shangbing
Yang, Jian
Yan, Yunyang
Bo, Zhou Jing
[J]. IET IMAGE PROCESSING, 2013, 7 (09) : 787 - 794
[5] An Efficient Image Co-segmentation Algorithm based on Active Contour and Image Saliency
Zhang, Zhizhi
Liu, Xiabi
Soomro, Nouman Qadeer
[J]. 2016 7TH INTERNATIONAL CONFERENCE ON MECHANICAL, INDUSTRIAL, AND MANUFACTURING TECHNOLOGIES (MIMT 2016), 2016, 54
[6] Saliency-Driven Active Contour Model for Image Segmentation
Iqbal, Ehtesham
Niaz, Asim
Memon, Asif Aziz
Asim, Usman
Choi, Kwang Nam
[J]. IEEE ACCESS, 2020, 8 : 208978 - 208991
[7] Automatic ultrasound image segmentation by active contour model based on texture
Rong Lu
Yi Shen
[J]. ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS, 2006, : 689 - +
[8] Adaptive active contour model based automatic tongue image segmentation
Guo, Jingwei
Yang, Yikang
Wu, Qingwei
Su, Jionglong
Ma, Fei
[J]. 2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016, : 1386 - 1390
[9] Weld Inspection Based on Radiography Image Segmentation with Level Set Active Contour Guided Off-Center Saliency Map
Ben Gharsallah, Mohamed
Ben Braiek, Ezzeddine
[J]. ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2015, 2015
[10] A Contour Detection Method Based on Image Saliency
Pan, Yongcai
Zhang, Yuwei
Liu, Qingzheng
Wu, Zhaobin
Hu, Wei
Wei, Yanxia
[J]. PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 42 - 46

← 1 2 3 4 5 →