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公开(公告)号：US07519206B2
公开(公告)日：2009-04-14
申请号：US10432376
申请日：2001-11-19
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/168 , G06T2207/10132 , G06T2207/30048
摘要： An image processing technique which identifies pixels in images which are associated with features having a selected shape, such as but not exclusively step edge, roof, ridge or valley. The shape of the intensity profile in the image is compared in an intensity independent way with a shape model to select those pixels which satisfy the shape model and are thus associated with the feature of interest. This comparison is achieved by examining the phase and amplitude of a spectral decomposition of parts of the image profile in the spatial or spatio temporal frequency domain. This decomposition can be achieved using quadrature wavelet pairs such as log-Gabor wavelets. The difference between the odd and even components, known as the feature asymmetry, gives an indication of the shape of the feature. The analysis may be extended to the time domain by looking at the shape of the image profile across a time sequence of images, which gives an indication of the velocity of a moving feature. Pixels identified as belonging to a feature of the right shape are labelled with the value of feature asymmetry, the local amplitude, feature orientation and feature velocity, and this information can be used to improve the tracking of detected features through a sequence of images.
摘要翻译： 一种图像处理技术，其识别与具有选定形状的特征相关联的图像中的像素，例如但不限于边缘，屋顶，脊或谷。 将图像中的强度分布的形状以强度独立的方式与形状模型进行比较，以选择满足形状模型并因此与感兴趣的特征相关联的那些像素。 该比较通过检查空间或时空频域中的图像轮廓的部分的频谱分解的相位和幅度来实现。 可以使用诸如log-Gabor小波之类的正交小波对来实现该分解。 被称为特征不对称的奇数和偶数分量之间的差异给出了特征形状的指示。 通过在图像的时间序列上查看图像轮廓的形状，可以将分析扩展到时域，其给出了移动特征的速度的指示。 被识别为属于正确形状的特征的像素被标记为特征不对称的值，局部幅度，特征取向和特征速度，并且该信息可以用于通过一系列图像来改善对检测到的特征的跟踪。
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公开(公告)号：US20050238233A1
公开(公告)日：2005-10-27
申请号：US10525005
申请日：2003-08-18
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10132 , G06T2207/30048
摘要： A method of computing a contour, such as the endocardial boundary in an ultrasound long-axis view of the heart, is disclosed. A plurality of points are input, each point being indicative of a predetermined landmark point in the image. A preliminary contour is then derived based on the input points and a known average contour shape which has been obtained from a database of contours derived from previous images. Finally, the preliminary contour is deformed to fit features identified in the image by a feature-extraction algorithm, to obtain the computed contour.
摘要翻译： 公开了一种在心脏的超声长轴视图中计算轮廓的方法，例如心内膜边界。 输入多个点，每个点指示图像中的预定的地标点。 然后基于输入点和从从先前图像导出的轮廓的数据库获得的已知平均轮廓形状来导出初步轮廓。 最后，通过特征提取算法将预备轮廓变形以适应图像中识别的特征，以获得计算出的轮廓。
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