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We constructed a tongue image data set of 300 imagesc to evaluate the proposed method.
Figure 3 shows the edge enhancement results of a typical tongue image using different edge detectors.
All the images were acquired by our tongue image acquisition device.
The tongue image data set of 300 imagesd was used to evaluate the proposed method.
Thus, the background is stable and can be easily segmented from the tongue image.
Tongue body segmentation is a prerequisite to tongue image analysis and has recently received considerable attention.
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In order to improve the quality and consistency of tongue images acquired by current imaging devices, this research aims to develop a novel imaging system which records human tongue information faithfully and precisely for medical analysis.
A high resolution digital camera was used to record tongue images in a standard imaging environment.
Several imaging systems have been developed for the acquisition of tongue images [13 15].
Figure 10 The segmentation results of three typical tongue images by using four different segmentation methods.
To address these problems, computational tongue diagnosis was studied for the digital acquisition and quantitative analysis of tongue images [7 9].
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