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Edge Detection and Symmetry Method for Cleft Lip and Palate Children Using Image Processing

机译:基于图像处理的唇left裂儿童边缘检测和对称方法

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To evaluate the treatment result of the cleft lip and palate children, it needed the specialists to evaluate it on the basis of the nasolabial method. The vital principle of this method was the result of operation of the lip shape to see whether it was symmetrical after being operated. The problem was that it needed at least five specialists to evaluate the treatment result through the nasolabial method. In case there was any disagreement between the specialists, it needed to hold the meeting to summarize the result of the lip operation. According to the found problem, this study proposed the suitable method for the edge detection, and symmetry for the cleft lip and palate children using the image processing based on the criteria of the shape of the vermilion border. For the procedures of analysis, the 5 tested images of the child patient who has been operated to modify the cleft lip and palate condition were examined to measure the efficiency. The comparison of the methods to finding out the suitable edge detection was carried out by Roberts, Prewitt, Sobel, Canny, and Laplacian of Gaussian (LoG) methods. The results of the study revealed that the average of LoG was the suitable method of finding out the shape of the vermilion border as compared to other methods. It had the least pixel difference of all as compared to the actual edge image. Moreover, it was found that the left lip and the right lip had the least distance pixel difference when finding out the symmetry by clipping the image. Thus, this proposed method could be the guideline of evaluating the treatment more accurately and efficiently.
机译:为了评估唇裂和children裂儿童的治疗效果,需要专家根据鼻唇法对其进行评估。该方法的重要原理是对嘴唇形状进行操作的结果,以查看操作后是否对称。问题在于,至少需要五名专家才能通过鼻唇法评估治疗效果。如果专家之间有任何分歧,则需要举行会议以总结口头手术的结果。根据发现的问题,本研究提出了一种合适的边缘检测方法,并使用基于朱红边界形状标准的图像处理方法对唇裂和pa裂儿童进行对称处理。对于分析程序,检查了已经手术以矫正唇裂和pa裂状况的儿童患者的5张测试图像,以测量效率。 Roberts,Prewitt,Sobel,Canny和Laplacian of Gaussian(LoG)方法对找到合适的边缘检测方法进行了比较。研究结果表明,与其他方法相比,LoG的平均值是找出朱红边界形状的合适方法。与实际边缘图像相比,它具有最小的像素差异。此外,发现通过裁剪图像发现对称性时,左唇和右唇的距离像素差异最小。因此,该方法可以作为更准确,更有效地评估治疗的指南。

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