首页> 外文会议>Proceedings of the 9th international conference for young computer scientists (ICYCS 2008) >Main Feature Extraction and Expression for Religious Portrait Thangka Image
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Main Feature Extraction and Expression for Religious Portrait Thangka Image

机译:宗教肖像唐卡图像的主要特征提取与表达

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A method based on the least-squares curve fitting of orthogonal multinomial to express image contour characteristic was proposed in this paper, which obtained successful application in head ornaments feature extraction and expression of Buddha, Bodhisattva, Spiritual teacher of Thangka portrait image. First, according to image components' graylevel histogram, chooses an appropriate threshold value for further thresholding; Second, transform pixel point of the image to coordinate points under rectangular coordinate system, then extract typical contour and eliminate the imaginary point. Third, the contour point which fits a multinomial with the leastsquares orthogonal multinomial distance fitting method, compares three data with its square coefficient and four powers coefficient as well as goal object's proportion of high and width of Thangka image to express the image characteristic as feature vector. Experiments show that the method is simple and effective.
机译:提出了一种基于正交多项式最小二乘曲线拟合的图像轮廓特征表达方法,在唐卡画像中佛,菩萨,灵性导师的头部装饰物特征提取与表达中得到了成功的应用。首先,根据图像分量的灰度直方图,选择合适的阈值进行进一步的阈值处理;其次,将图像的像素点转换为直角坐标系下的坐标点,然后提取典型轮廓并消除虚点。第三,用最小二乘正交多项式距离拟合方法拟合多项式的轮廓点,将三个数据与其平方系数和四次方系数以及唐卡图像的高宽比例和目标对象的比例进行比较,以图像特征表示为特征向量。实验表明,该方法简单有效。

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