Abstract
Abstract Tongue body segmentation is a prerequisite to tongue image analysis and has recently received considerable attention. The existing tongue body segmentation methods usually involve two key steps: edge detection and active contour model (ACM)-based segmentation. However, conventional edge detectors cannot faithfully detect the contour of the tongue body, and the initialization of ACM suffers from the edge discontinuity problem. To address these issues, we proposed a novel tongue body segmentation method, GaborFM, which initializes ACM by performing fast marching over the two-dimensional (2D) Gabor magnitude domain of the tongue images. For the enhancement of the contour of the tongue body, we used the 2D Gabor magnitude-based detector. To cope with the edge discontinuity problem, the fast marching method was utilized to connect the discontinuous contour segments, resulting in a closed and continuous tongue body contour for subsequent ACM-based segmentation. Qualitative and quantitative results showed that GaborFM is superior to the other methods for tongue body segmentation.
Highlights
Medical image segmentation, analysis, and diagnosis have received much attention in image analysis and computer vision
Several methods of segmentation have been proposed for medical images such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound medical imagery
To circumvent edge enhancement and contour discontinuity problems, we propose a novel tongue body segmentation method, GaborFM, which performs fast marching over the two-dimensional (2D) Gabor magnitude domain of tongue images
Summary
Analysis, and diagnosis have received much attention in image analysis and computer vision. To circumvent edge enhancement and contour discontinuity problems, we propose a novel tongue body segmentation method, GaborFM, which performs fast marching over the two-dimensional (2D) Gabor magnitude domain of tongue images. The enhancement of the tongue body contour by the proposed 2D Gabor magnitude-based edge detection method was first studied. 2. 2D Gabor magnitude-based edge detection a 2D Gabor magnitude-based edge detector for the enhancement of the tongue body contour is proposed It utilizes the color characteristics of the tongue body to suppress interference from the tongue texture and fissures, and uses Otsu's method for edge thresholding. 3.1 Selection of stable segments the 2D Gabor magnitude-based detector is effective, false detection of the tongue body boundary cannot be completely avoided.
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