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126 results about "Angles Classification" patented technology

Edward Angle, who is considered the father of modern orthodontics, was the first to classify malocclusion. He based his classifications on the relative position of the maxillary first molar. According to Angle, the mesiobuccal cusp of the upper first molar should align with the buccal groove of the mandibular first molar.

Local shape matching method based on outline random sampling

The invention discloses a local shape matching method based on outline random sampling. The local shape matching method based on outline random sampling comprises the steps that all sub-outline sequences of a target outline to be matched and random sub-outlines on a template outline are extracted through a geometric round radius method; the length and width ratios of the minimum rotation bounding rectangles and the outline area features of a target sub-outline and the random sub-outlines of the template are extracted, and primary matching is conducted; mean value distance chain code and mean value angle chain code features, based on angle classification, of the sub-outlines of the outline points obtained after primary matching are extracted; secondary matching is conducted between the chain code features obtained through the random sub-outlines of the template and the sub-outlines obtained after primary matching, so that a small number of optimal matched outlines are obtained; a coordinate conversation matrix of the random sub-outlines of the template and the matched sub-outlines are calculated, and the outline of the whole template is projected to the target outline through the conversation matrix; the coordinate conversation matrix of the sub-outlines is updated; and the optimal matched outline is recognized. By the adoption of the local shape matching method, a matched result can be rapidly and reliably provided, the image registration calculation efficiency is high, and the adaptability is high.
Owner:WUXI UNICOMP TECH

Fundus image registering method based on SIFT characteristics

The invention discloses a fundus image registering method based on SIFT characteristics. The method comprises: conducting angle classification to a batch of inputted fundus images; calculating the transformative relationship among the images; converting the images onto the same background; and through the rapid switching of the images, finding out which parts of the fundus change. The invention mainly uses a fuzzy convergence optic disc positioning algorithm and conducts angle classification to the batch of inputted fundus images according to the position of the optic disc wherein the angle classification is referred as two types: the left side and the right side; and then in each image classification, a selected and uploaded first image is used as a reference for other images to register with; the SIFT characteristic points of all the images are extracted and the matching relation between every two points is calculated. Finally, the RANSAC algorithm is used to calculate the transformation model parameters between every two images. The images are converted onto the same background according to the transformation model; and an image switching interval is configured so that through the switching of the images, it is possible to find out the change among the images rapidly and accurately.
Owner:ZHEJIANG UNIV
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