Image Registration based Cervical Cancer Detection and Segmentation Using ANFIS Classifier

摘要

Cervical cancer is the leading cancer in women around the world. In this paper, Adaptive Neuro Fuzzy InferenceSystem (ANFIS) classifier based cervical cancer detection and segmentation methodology is proposed. This proposedsystem consists of the following stages as Image Registration, Feature extraction, Classifications and Segmentation.Fast Fourier Transform (FFT) is used for image registration. Then, Grey Level Co-occurrence Matrix (GLCM), Greylevel and trinary features are extracted from the registered cervical image. Next, these extracted features are trainedand classified using ANFIS classifier. Morphological operations are now applied over the classified cervical imageto detect and segment the cancer region in cervical images. Simulations on large cervical image dataset demonstratethat the proposed cervical cancer detection and segmentation methodology outperforms the state of-the-art methods interms of sensitivity, specificity and accuracy.