Background: Accuracy in feature extraction is an important factor in image classifiation and retrieval. In this
paper, a breast tissue density classifiation and image retrieval model is introduced for breast cancer detection
based on thermographic images. The new method of thermographic image analysis for automated detection of
high tumor risk areas, based on two-directional two-dimensional principal component analysis technique for
feature extraction, and a support vector machine for thermographic image retrievalwas tested on 400 images.
The sensitivity and specifiity of the model are 100% and 98%, respectively
کلید واژگان :
Thermographic image - hot area - support vector machine - feature extraction
