TITLE

Sonar Image Segmentation Based on an Improved Selection of Initial Contour of Active Contour Model

AUTHOR(S)
Wu Junpeng; Guo Haitao
PUB. DATE
November 2014
SOURCE
Applied Mechanics & Materials;2014, Vol. 709, p447
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The correct sonar image segmentation is an important foundation for underwater target recognition. Because the contour convergence of the active contour model depends on the selection of initial position, the active contour model is applied in sonar image segmentation. This paper proposed a selection method based on local standard deviation of image as the outline of initial contour. Due to the disturbance of noise, sonar image is usually affected in resolution and contrast. Firstly, sonar image is enhanced by top-hat and bottom-hat transformation in image morphology. Then after image enhancement, a suitable threshold value is chose for rough binarization and the standard deviation of target areas to calculate the local image. According to the size of standard deviation of different regions to determine the scope of the initial contour, sonar image segmentation is achieved by active contour algorithm.
ACCESSION #
100088368

 

Related Articles

  • Teeth Contour Extraction Using Modified Active Contour without Edges. Harandi, Azam Amini; Pourghassem, Hossein // International Review on Computers & Software;May2012, Vol. 7 Issue 3, p1130 

    Segmentation of dental X-ray images and teeth contour extraction are important parts of automatic dental identification system (ADIS). The first step in extracting the contour of teeth is segmentation the image. In this paper, the horizontal and vertical integral projections with active contour...

  • Graph cuts based active contour model with selective local or global segmentation. Zheng, Q.; Dong, E.Q.; Cao, Z.L. // Electronics Letters;4/26/2012, Vol. 48 Issue 9, p490 

    Graph cuts (GC) and the active contour model (ACM) have become two of the most important schemes in image segmentation. Recently, many researches tend to unify the two schemes to obtain new models for efficient calculation and global minimisation. However, the existing GC based ACMs not only...

  • Active contours driven by novel fitting term for image segmentation. Kang Ni; Yiquan Wu // Electronics Letters;6/22/2017, Vol. 53 Issue 13, p854 

    Active contour model driven by novel fitting term is proposed for image segmentation in this letter. The novel fitting term contains two parts: one is L1 fitting term, which describes the change of energy between inside and outside the curve; another is the reciprocal crossentropy fitting term,...

  • Saliency-based localising active contour for automatic natural object segmentation. Shangbing Gao; Jian Yang; Yunyang Yan; Zhou Jing Bo // IET Image Processing;Dec2013, Vol. 7 Issue 9, p787 

    In this study, a novel method named saliency-seeded active contour is presented for automatic natural object extraction. Since approximately the location of the desired object can easily be obtained by saliency regions or pixels in the map, we propose the maximum saliency density method to...

  • A Novel Active Contour Model for Image Segmentation and Bias Correction Using Guided Image Filtering Regularization Term. Wang, Haijun; Liu, Ming // International Journal of Pattern Recognition & Artificial Intell;Jul2017, Vol. 31 Issue 7, p-1 

    This paper presents a novel active contour model for image segmentation and bias correction in terms of robustness to initialization and intensity inhomogeneity. In our model, the local image intensities are described by Gaussian distributions with different means and variances. The local...

  • Robust active contours for fast image segmentation. Keyan Ding; Guirong Weng // Electronics Letters;9/29/2016, Vol. 52 Issue 20, p1687 

    A robust active contour model is proposed for fast image segmentation. By introducing the intensity fitting energy in a local region, the proposed model can segment the images with intensity inhomogeneity efficiently. Since the local fitting functions are computed before curve evolution, the...

  • Guided Energy-Minimizing Model for Segmentation of Vector Fields. Binias, Bartosz // AIP Conference Proceedings;2016, Vol. 1738 Issue 1, p480065-1 

    Active contours or snakes, are a group of image segmentation methods based on the idea of energy-minimizng curves. In this paper classical snake model with added Balloon Force is modified, granting it the capability of performing object segmentation task on data with unlimited number of...

  • Object detection based on scale-invariant partial shape matching. Fan, Huijie; Cong, Yang; Tang, Yandong // Machine Vision & Applications;Aug2015, Vol. 26 Issue 6, p711 

    This paper aims at detecting objects via a partial shape matching in unlabeled real images. As both the scale and consistent fragment extraction are troublesome issues in computer vision, we first extract the corresponding parts of pairs of matching fragments generated by the curvature extreme...

  • On contour representation of two dimensional patterns. BANU-DEMERGIAN, I. T.; STEFANESCU, G. // Carpathian Journal of Mathematics;2016, Vol. 32 Issue 1, p37 

    Two-dimensional patterns are used in many research areas in computer science, ranging from image processing to specification and verification of complex software systems (via scenarios). The contribution of this paper is twofold. First, we present the basis of a new formal representation of...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics