基于层次图像分解和图挖掘的年龄相关性黄斑变性图像分类Image Classification for Age-related Macular Degeneration Screening using Hierarchical Image Decompositions and Graph Mining |
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课程网址: | http://videolectures.net/ecmlpkdd2011_ahmad_hijazi_classification... |
主讲教师: | Mohd Hanafi Ahmad Hijazi |
开课单位: | 利物浦大学 |
开课时间: | 信息不详。欢迎您在右侧留言补充。 |
课程语种: | 英语 |
中文简介: | 年龄相关性黄斑变性(AMD)是发达国家成人失明最常见的原因。本文介绍了一种从彩色眼底照片中自动检测AMD的新图像挖掘技术。该技术包括一种基于圆形和角度分割的新型层次图像分解机制。然后将得到的分解存储在一个树结构中,并对其应用加权频繁子树挖掘算法。然后将识别出的子图合并到特征向量表示(每个图像一个向量)中,分类技术可以应用到该表示中。结果表明,该方法既有效又准确。 |
课程简介: | Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. This paper describes a new image mining technique to perform automated detection of AMD from colour fundus photographs. The technique comprises a novel hierarchical image decomposition mechanism founded on a circular and angular partitioning. The resulting decomposition is then stored in a tree structure to which a weighted frequent sub-tree mining algorithm is applied. The identified sub-graphs are then incorporated into a feature vector representation (one vector per image) to which classification techniques can be applied. The results show that the proposed approach performs both efficiently and accurately. |
关 键 词: | 年龄相关性黄斑变性; 图像挖掘技术; 分层图像分解机制 |
课程来源: | 视频讲座网 |
最后编审: | 2019-11-17:cwx |
阅读次数: | 48 |