Object classification in images for Epo doping control based on fuzzy decision trees

扫码查看

原文链接

NETL

外文摘要：Erythropoietin (Epo) is a hormone which can be misused as a doping substance。 Its detection involves analysis of images containing specific objects (bands)， whose position and intensity are critical for doping positivity。 Within a research project of the World Anti-Doping Agency (WADA) we are implementing the GASepo software that should serve for Epo testing in doping control laboratories world-wide。 For identification of the bands we have developed a segmentation procedure based on a sequence of filters and edge detectors。 Whereas all true bands are properly segmented， the procedure generates a relatively high number of false positives (artefacts)。 To separate these artefacts we suggested a post-segmentation supervised classification using real-valued geometrical measures of objects。 The method is based on the ID3 (Ross Quinlan''s) rule generation method， whore fuzzy representation is used for linking the linguistic terms to quantitative data。 The fuzzy modification of the ID3 method provides a framework that generates fuzzy decision trees， as well as fuzzy sets for input data。 Using the MLF™ software (Machine Learning Framework) we have generated a set of fuzzy rules explicitly describing bands and artefacts。 The method eliminated most of the artefacts。 The contribution includes a comparison of the obtained misclassification errors to the errors produced by some other statistical classification methods。

外文关键词：

Epo doping controlimage segmentationmachine learning classificationfuzzy decision tree

作者：

Ivan Bajla、Igor Hollaender、Dorothea Heiss、Reinhard Granec、Markus Minichmayr

展开 >

作者单位：

ARC Seibersdorf research GmbH, A-2444 Seibersdorf, Austria

会议名称：

Conference on Applications of Neural Networks and Machine Learning in Image Processing IX; 20050119-20; San Jose,CA(US)

会议地点：

San Jose,CA(US)

会议母体文献：

Applications of Neural Networks and Machine Learning in Image Processing IX

页码：

P.42-56

出版时间：

2005