A multi-direction GVF snake for the segmentation of skin cancer images

Authors:
Jinshan Tang
Affiliations:
Image Processing and Bio-imaging Research Laboratory, Systems Research Institute and Department of Advanced Technologies, Alcorn State University, Lorman, MS 39096, USA
Venue:
Pattern Recognition
Year:
2009

Citing 5
Cited 13

Digital image processing

Digital image processing
Generalized gradient vector flow external forces for active contours

Signal Processing - Special issue on deformable models and techniques for image and signal processing
A multistage adaptive thresholding method

Pattern Recognition Letters
Snakes, shapes, and gradient vector flow

IEEE Transactions on Image Processing
Speckle reducing anisotropic diffusion

IEEE Transactions on Image Processing

Depth Data Improves Skin Lesion Segmentation

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Tracking multiple objects using moving snakes

DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Continuous force field analysis for generalized gradient vector flow field

Pattern Recognition
Systematic image processing for diagnosing brain tumors: A Type-II fuzzy expert system approach

Applied Soft Computing
Robust active contour segmentation with an efficient global optimizer

ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Unsupervised skin lesions border detection via two-dimensional image analysis

Computer Methods and Programs in Biomedicine
Cytoplasm and nucleus segmentation in cervical smear images using Radiating GVF Snake

Pattern Recognition
Methodological review: Computerized analysis of pigmented skin lesions: A review

Artificial Intelligence in Medicine
A two-stage approach for discriminating melanocytic skin lesions using standard cameras

Expert Systems with Applications: An International Journal
Mean shift based gradient vector flow for image segmentation

Computer Vision and Image Understanding
Adaptive diffusion flow active contours for image segmentation

Computer Vision and Image Understanding
A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images

Computer Methods and Programs in Biomedicine
Multi-feature gradient vector flow snakes for adaptive segmentation of the ultrasound images of breast cancer

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.01

Visualization

Abstract

A multi-direction gradient vector flow (GVF) snake-based scheme is proposed in this paper for the segmentation of skin cancer images. Unlike the traditional anisotropic diffusion (AD) filter, which has many disadvantages such as sensitivity to noise, a new AD filter has been developed to remove the noise. The proposed AD filter uses adaptive threshold selection and a new gradient computation method, which is robust to noise and can effectively remove the hairs. After the noise is removed from the skin cancer image, the image is segmented using a multi-direction GVF snake. The multi-direction GVF snake extends the single direction GVF snake and traces the boundary of the skin cancer even if there are other objects near the skin cancer region. Experiments performed on 11 cancer images show the effectiveness of the proposed algorithm.