首页> 外国专利> APPARATUS FOR CLASSIFYING SKIN CONDITIONS AND APPARATUS FOR GENERATING SKIN CONDITION CLASSIFICATION MODEL USED ON THE SAME APPARATUS AND METHOD THEREOF

APPARATUS FOR CLASSIFYING SKIN CONDITIONS AND APPARATUS FOR GENERATING SKIN CONDITION CLASSIFICATION MODEL USED ON THE SAME APPARATUS AND METHOD THEREOF

机译:用于对皮肤状况进行分类的设备以及用于在同一设备上生成皮肤状况分类模型的设备及其方法

摘要

An apparatus and method for generating a skin condition classifier and a skin condition classification model used in the apparatus are disclosed. The structure storage unit of the skin condition classification model generation apparatus includes a plurality of classifiers including a learned dictionary for a plurality of skin images, a sparse representation extracted from the dictionary, and a classifier generated from the rare expression, Save the structure. The structure generating unit generates the plurality of classifier structures by using a sparse coding algorithm for data of a plurality of skin images and stores them in the structure storing unit. The final model generator generates a Boosting Sparse Coding Model, which is a final skin condition classification model, by applying an adoboosting algorithm to a plurality of classifiers of the structure storage unit. Using this final skin condition classification model, the skin condition classifier can perform more accurate skin condition classification on a new image.
机译:公开了一种用于生成皮肤状况分类器的设备和方法以及该设备中使用的皮肤状况分类模型。皮肤状况分类模型生成设备的结构存储单元包括多个分类器,其包括针对多个皮肤图像的学习词典,从词典中提取的稀疏表示,以及从稀有表达生成的分类器,保存结构。结构生成单元通过使用稀疏编码算法针对多个皮肤图像的数据生成多个分类器结构,并将它们存储在结构存储单元中。最终模型生成器通过将反推算法应用于结构存储单元的多个分类器来生成作为最终皮肤状况分类模型的Boosting Sparse Coding Model。使用此最终皮肤状况分类模型,皮肤状况分类器可以对新图像执行更准确的皮肤状况分类。

著录项

  • 公开/公告号KR101969346B1

    专利类型

  • 公开/公告日2019-04-19

    原文格式PDF

  • 申请/专利权人 한양대학교 산학협력단;

    申请/专利号KR20170015838

  • 发明设计人 이기천;이재환;박정현;

    申请日2017-02-03

  • 分类号A61B5;G06N99;

  • 国家 KR

  • 入库时间 2022-08-21 11:48:45

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