图 书 馆
基于层次图像分解和图挖掘的年龄相关性黄斑变性筛查图像分类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: | 2011-11-30 |
| 课程语种: | 英语 |
| 中文简介: |  与年龄有关的黄斑变性（AMD）是发达国家中成年人失明的最常见原因。本文介绍了一种新的图像挖掘技术，可以从彩色眼底照片中自动检测AMD。该技术包括基于圆形和角度分区的新型分层图像分解机制。然后将生成的分解存储在树结构中，在该树结构中应用了加权频繁子树挖掘算法。然后将识别出的子图合并到可以应用分类技术的特征向量表示中（每个图像一个向量）。结果表明，该方法能够高效，准确地执行任务。 |
| 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: | 特征向量; 挖掘算法 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-03-20：zyk |
| 最后编审: | 2021-03-20：zyk |
| 阅读次数: | 63 |