원문정보
초록
영어
A hybrid microcalcification detection method based on Fisher discriminant and SVM was presented because signal-to-noise ratio of mammogram image was very low, and microcalcifications were very small and their shape was irregular. Firstly, low frequency information of tissue was removed by wavelet transform in order to reduce the tissue effect to microcalcification segment. Secondly, Fisher discriminant was adopted to find optimum threshold, meanwhile microcalcification was segmented. Lastly, SVM classifier was adopted to recognize true microcalcifications. Experiment results showed that Fisher discriminant could validly segment microcalcifications and the number of false positive targets was less than OSTU’s. Detection ratio of our algorithm was about 97%.
목차
1. Introduction
2. Microcalcification Segment Based on Fisher Discriminant
2.1. Fisher Discriminant
2.2. Microcalcification Segmentation
3. Microcalcification Detection Based on SVM
3.1. Theory of SVM
3.2. Feature Extraction
4. Experimental Result
5. Concluding Remarks
Acknowledgements
References